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

Torrent Hash:
EC9EAC68C363C9FD531EC8CDF1A142CF92C890D0
Number of Files:
12
Content Size:
964.15MB
Convert On:
2023-07-07
Keywords:
DevCourseWebcomUdemyExploringGeneExpressionforInterpretingBiologicalData
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182B
~Get Your Files Here !/1. Introduction/1. Introduction to Bioinformatics and R Exploring the Intersection of Biology.mp4
67.17MB
~Get Your Files Here !/1. Introduction/2. Getting Started with R Installation and Variables Understanding.mp4
104.7MB
~Get Your Files Here !/1. Introduction/3. Working with R Packages Installing, Loading, and Exploring Bioinformatics.mp4
76.25MB
~Get Your Files Here !/2. Bioinformatics Analysis in R/1. Differential Gene Expression Analysis with Deseq2 Preparing Data.mp4
27.48MB
~Get Your Files Here !/2. Bioinformatics Analysis in R/2. Deseq2 Code Understanding.mp4
190.59MB
~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
~Get Your Files Here !/2. Bioinformatics Analysis in R/4. Visualizing Gene Expression Data Creating Stunning Plots with ggplot2.mp4
79.94MB
~Get Your Files Here !/2. Bioinformatics Analysis in R/5. Introduction to Single-Cell RNA Sequencing (scRNA-seq) Data Analysis.mp4
52.93MB
~Get Your Files Here !/2. Bioinformatics Analysis in R/6. Exploring scRNA-seq Code Cell Trajectories and Gene Expression Dynamics.mp4
233.88MB
~Get Your Files Here !/2. Bioinformatics Analysis in R/7. GitHub Source Code.html
92B
~Get Your Files Here !/Bonus Resources.txt
386B

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