Hand-On Microarray Analysis For Differential Gene Expression

Hand-On Microarray Analysis For Differential Gene Expression
Published 8/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.02 GB | Duration: 1h 54m
Hands-on Microarray Data Analysis for Differential gene expression Using Graphic User interface and Command Line

What you'll learn
Master Microarray Analysis Techniques: Understand the principles of microarray technology and gene expression analysis. Learn to navigate microarray databases,
Perform Differential Expression Analysis: Develop proficiency in identifying differentially expressed genes, a critical aspect of genomics research. Explore var
Apply Quality Control and Normalization: Grasp the significance of data quality control in microarray analysis. Detect anomalies and variations in your data, an
Interpret and Visualize Biological Insights: Transform analysis outcomes into meaningful biological insights. Learn to create informative visualizations that br
Navigate Microarray Databases: Confidently explore ArrayExpress and GEO databases, gaining the skills to search, select, and retrieve relevant microarray datase
Biological Interpretation: Gain the ability to translate analysis results into meaningful biological insights. Learn how to create informative visualizations th

Requirements
No Programming Experience Needed: While a familiarity with programming concepts is beneficial, no prior programming experience is required. We'll introduce you to R programming from scratch, ensuring you can follow along comfortably.
No Prior Microarray Knowledge: If you're new to microarray analysis, don't worry! We'll provide a comprehensive introduction to the technology and its applications, ensuring a smooth learning experience for beginners.
Open Mind and Enthusiasm: A genuine curiosity about gene expression analysis and a willingness to learn are the most important prerequisites. Our course is designed to cater to learners of all backgrounds, so come with an open mind and a passion for exploring the world of genomics.

Code:

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Code:

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