[ DevCourseWeb.com ] Udemy - Exploring Gene Expression R for Interpreting Biological Data
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- ~Get Your Files Here !/2. Bioinformatics Analysis in R/6. Exploring scRNA-seq Code Cell Trajectories and Gene Expression Dynamics.mp4 233.9 MB
- ~Get Your Files Here !/2. Bioinformatics Analysis in R/2. Deseq2 Code Understanding.mp4 190.6 MB
- ~Get Your Files Here !/2. Bioinformatics Analysis in R/3. Converting Ensembl Gene IDs to Gene Symbols Using R Techniques and Packages.mp4 131.2 MB
- ~Get Your Files Here !/1. Introduction/2. Getting Started with R Installation and Variables Understanding.mp4 104.7 MB
- ~Get Your Files Here !/2. Bioinformatics Analysis in R/4. Visualizing Gene Expression Data Creating Stunning Plots with ggplot2.mp4 79.9 MB
- ~Get Your Files Here !/1. Introduction/3. Working with R Packages Installing, Loading, and Exploring Bioinformatics.mp4 76.2 MB
- ~Get Your Files Here !/1. Introduction/1. Introduction to Bioinformatics and R Exploring the Intersection of Biology.mp4 67.2 MB
- ~Get Your Files Here !/2. Bioinformatics Analysis in R/5. Introduction to Single-Cell RNA Sequencing (scRNA-seq) Data Analysis.mp4 52.9 MB
- ~Get Your Files Here !/2. Bioinformatics Analysis in R/1. Differential Gene Expression Analysis with Deseq2 Preparing Data.mp4 27.5 MB
- ~Get Your Files Here !/Bonus Resources.txt 386 bytes
- Get Bonus Downloads Here.url 182 bytes
- ~Get Your Files Here !/2. Bioinformatics Analysis in R/7. GitHub Source Code.html 92 bytes
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