[ DevCourseWeb.com ] Udemy - Exploring Gene Expression R for Interpreting Biological Data

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DevCourseWeb  com  Udemy  Exploring  Gene  Expression  for  Interpreting  Biological  Data  
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Files
  1. Get Bonus Downloads Here.url 182B
  2. ~Get Your Files Here !/1. Introduction/1. Introduction to Bioinformatics and R Exploring the Intersection of Biology.mp4 67.17MB
  3. ~Get Your Files Here !/1. Introduction/2. Getting Started with R Installation and Variables Understanding.mp4 104.70MB
  4. ~Get Your Files Here !/1. Introduction/3. Working with R Packages Installing, Loading, and Exploring Bioinformatics.mp4 76.25MB
  5. ~Get Your Files Here !/2. Bioinformatics Analysis in R/1. Differential Gene Expression Analysis with Deseq2 Preparing Data.mp4 27.48MB
  6. ~Get Your Files Here !/2. Bioinformatics Analysis in R/2. Deseq2 Code Understanding.mp4 190.59MB
  7. ~Get Your Files Here !/2. Bioinformatics Analysis in R/3. Converting Ensembl Gene IDs to Gene Symbols Using R Techniques and Packages.mp4 131.21MB
  8. ~Get Your Files Here !/2. Bioinformatics Analysis in R/4. Visualizing Gene Expression Data Creating Stunning Plots with ggplot2.mp4 79.94MB
  9. ~Get Your Files Here !/2. Bioinformatics Analysis in R/5. Introduction to Single-Cell RNA Sequencing (scRNA-seq) Data Analysis.mp4 52.93MB
  10. ~Get Your Files Here !/2. Bioinformatics Analysis in R/6. Exploring scRNA-seq Code Cell Trajectories and Gene Expression Dynamics.mp4 233.88MB
  11. ~Get Your Files Here !/2. Bioinformatics Analysis in R/7. GitHub Source Code.html 92B
  12. ~Get Your Files Here !/Bonus Resources.txt 386B