Youtube Teaching Channel/Webinars

Youtube Teaching Channel/Webinars: https://www.youtube.com/playlist?list=PLKka-JHtsz80sJ_uQ8wZ4cnLNB9yRJNoV

Claflin University Orangeburg, South Carolina, USA Bioinformatics Learning Objectives (Bioinformatics BIOL441 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-biol341-2): 

Claflin University Orangeburg, South Carolina, USA Digital Logic Learning Objectives (Digital Logic CSCI225 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-csci-hnth-392):

Intro to Digital Logic DesignClaflin University Orangeburg, South Carolina, USA and Lab (Emphasis on digital computer hardware and software, fundamentals of Boolean algebra (MATH111), switching and switching functions, applications to logic design, Digital logic gates, minimization of Boolean function, logic design with arrays, finite state model for sequential state minimization, design abstractions, representations, process, Karnaugh maps, K-map simplification, combinatorial components, multiplexers, decoders, selectors, ROMs, PLAs, hybrid components, sequential logic, Mealy/Moore finite state machines, state minimization, encoding, control unit design).

Claflin University Orangeburg, South Carolina, USA Data analysis Learning Objectives (Data analysis STAT401 (3 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-stat341): Descriptive and inferential statistics, probability distributions, variable types, distribution properties, discrete & continuous types, R functions.

Claflin University Orangeburg, South Carolina, USA Object Oriented Programming Learning Objectives (Object Oriented Programming CSCI207 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-inbre-epscor-ret): Object Oriented Programming topics including inheritance, msg passing, polymorphism, recursion, abstraction, encapsulation, software design techniques, etc.).

Claflin University Orangeburg, South Carolina, USA Data Science Learning Objectives (Data Science CSCI455 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-math111):

Research:

Bioinformatics BIOL441 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-biol341-2 Digital Logic CSCI225 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-csci-hnth-392 Data analysis STAT401 (3 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-stat341 Object Oriented Programming CSCI207 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-inbre-epscor-ret Data Science CSCI455 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-math111 Summer school: https://pawar1550.wixsite.com/claflin-courses/copy-of-biomedical-biomaterials-inter

Introduction:

CSCI101 Introduction to computer technology Claflin University Orangeburg, South Carolina, USA (computer hardware (processors, LMC, storage, I/O devices, software life cycle), software components and applications, Exploratory Data Analysis (visualization plots), programming constructs, secure computing (threats, malware, phishing, vulnerability), Exploratory Data Analysis (visualization plots), statistical tests (T-test, correlation, ANOVA, chi-square) functions, ethics in computing: https://youtu.be/bPBV_UUrAqA https://youtu.be/c9bH44vigyo https://youtu.be/0aHzDI2cV_c https://youtu.be/QFz7uhRMyTQ https://youtu.be/ilcye1yT-Lw https://youtu.be/9PAGIi1ECMw https://youtu.be/qoXgnffI_QY https://youtu.be/jUhrikiZ9vc https://youtu.be/c8EH47_taL8 https://youtu.be/d8NKb8Io0f0

Internship Learning Objectives 2023:

2024:

  • Session 1.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/M4YK6UbJR10
  • Session 1.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/T6wQL4h5eEs

  • Session 2.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/riK08jGANk4

  • Session 2.2(Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/8H9t8y1gBBs

  • Session 3.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/pBh-nsV1-_g

  • Session 3.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/NybXXfLb20g

  • Session 4 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/x6vfIOzlj9s

  • Session 5 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/Y0LUUIDLKFQ

  • Session 6 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization, (Affy, Oligo, Limma-RMA, Quantile, Mas5.0) Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/UC-wJ_CCUcs

  • Session 7 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/o4KAY94XMLg

  • Session 8.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/VuYKgOrRc7c

  • Session 8.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/T7o6-EsdmTA

  • Session 9 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/TZlxPD7s0xw

  • Session 10.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/HFN-9By_VYU

  • Session 10.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/MxycWaDeGfQ

  • Session 11.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/4s16eW-g_0I

  • Session 11.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/6MW48-4DO7k

  • Session 12 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/2a1CnkK9-pI

  • Session 13 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/Ln785EYIoz8

  • Session 14 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/PDow3EbvaBo

  • Session 14 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/_PVck8bxzjE
  • Session 14 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/jFvuX3eRJEo
  • Session 15.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0),, Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/_PVck8bxzjE
  • Session 15.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0),, Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/jFvuX3eRJEo
  • Session 16 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/T7hAMi0yax0

  • Session 17.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/5w9GooLRBi4

  • Session 17.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/Pp9-jBHfYuA

  • Session 18 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/oFOSaewJ_-o