Download Udemy - Exploring Gene Expression R for Interpreting Biological Data torrent

Udemy - Exploring Gene Expression R for Interpreting Biological Data

Torrent:	Udemy - Exploring Gene Expression R for Interpreting Biological Data
Description:	Exploring Gene Expression R for Interpreting Biological Data https://DevCourseWeb.com Published 6/2023 Created by Abdul Rehman Ikram MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning \| Language: English \| Duration: 10 Lectures ( 1h 41m ) \| Size: 964 MB Exploring Genetic Insights and Unlocking Biological Patterns through Data Analysis with R Programming language What you'll learn Possess a solid understanding of bioinformatics principles and methodologies. Be proficient in using R for data manipulation, analysis, and visualization in the context of bioinformatics. Acquire knowledge of data manipulation, visualization, and statistical analysis techniques using R. Gain expertise in differential gene expression analysis using Deseq2. Perform genomic and transcriptomic analysis, such as genome assembly, gene expression analysis, and differential expression. Be able to convert gene IDs to gene symbols for improved interpretability. Have the skills to create compelling visualizations of gene expression data using ggplot2. Be equipped with the knowledge and techniques to analyze scRNA-seq data using the R Seurat pipeline. Requirements Basic Biology Knowledge: Familiarity with basic biological concepts such as genes, proteins, DNA, and biological processes. Understanding of genomics and transcriptomics principles is helpful. Programming Fundamentals: Prior experience with programming fundamentals is desirable, preferably in a language like Python or R. Knowledge of variables, functions, control structures, and basic data manipulation will provide a strong foundation for learning R programming. Statistics and Data Analysis: An understanding of basic statistical concepts, such as descriptive statistics, hypothesis testing, and data visualization, is advantageous. This knowledge will assist students in effectively analyzing and interpreting biological data.
Downloads:	11
Category:	Other /Tutorials
Size:	964.2 MB
Show Files »	[ DevCourseWeb.com ] Udemy - Exploring Gene Expression R for Interpreting Biological Data Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction 1. Introduction to Bioinformatics and R Exploring the Intersection of Biology.mp4 (67.2 MB) 2. Getting Started with R Installation and Variables Understanding.mp4 (104.7 MB) 3. Working with R Packages Installing, Loading, and Exploring Bioinformatics.mp4 (76.2 MB) 2. Bioinformatics Analysis in R 1. Differential Gene Expression Analysis with Deseq2 Preparing Data.mp4 (27.5 MB) 2. Deseq2 Code Understanding.mp4 (190.6 MB) 3. Converting Ensembl Gene IDs to Gene Symbols Using R Techniques and Packages.mp4 (131.2 MB) 4. Visualizing Gene Expression Data Creating Stunning Plots with ggplot2.mp4 (79.9 MB) 5. Introduction to Single-Cell RNA Sequencing (scRNA-seq) Data Analysis.mp4 (52.9 MB) 6. Exploring scRNA-seq Code Cell Trajectories and Gene Expression Dynamics.mp4 (233.9 MB) 7. GitHub Source Code.html (0.1 KB) Bonus Resources.txt (0.4 KB) files
Added:	2023-07-06 23:07:05
Language:	English
Peers:	Seeders : 2 , Leechers : 7
Tags:	IT & Software Bioinformatics Udemy
Release name:	Udemy - Exploring Gene Expression R for Interpreting Biological Data
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