Mastering Genomics: Unveiling Insights Through Microarray Analysis

Name: Mastering Genomics: Unveiling Insights Through Microarray Analysis
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Learn to perform various bioinformatic analyses on gene expression data generated using microarray technology.

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Learning Outcomes

In this free course, you will learn how to:

Illustrate installing the CRAN or Bioconductor packages directly or indirectly in the R environment
Assess the gene expression database on various features (options) and download the expression data
Identify and extract differentially expressed genes (DEGs) after importing the expression matrix into geWorkbench
Apply Gene Ontology (GO) analysis on DEGs using the corresponding database (DAVID)
Explain the details of different microarray methods, including DNA microarray
Evaluate the general format of the gene expression matrix and read the various information presented in the matrix
Compute cluster analysis on DEGs using the Hierarchical clustering method in the geWorkbench
Compute cluster analysis using the K-Means algorithm, cluster, and factoextra packages in the R environment

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