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Beginner Level
Mastering Genomics: Unveiling Insights Through Microarray Analysis
214Learners already enrolled
5-6 Avg Hours
CPD Accredited
Mastering Genomics: Unveiling Insights Through Microarray Analysis
Learn to perform various bioinformatic analyses on gene expression data generated using microarray technology.
In this course, you will learn a full range of different bioinformatic analyses on gene expression data generated using microarray technology. In this step-by-step journey, you will first learn about download... In this course, you will learn a full range of different bioinformatic analyses on gene expression data generated using microarray technology. In this step-by-step journey, you will first learn about downloading microarray data. Then, you'll learn to check the overall quality of the microarray data, visualize it, and find differentially expressed genes (GEGs). In addition, you will learn clustering and gene ontology (GO) analysis.
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What You Will Learn In This Free Course
- Illustrate installing the CRAN or B...
- Assess the gene expression database...
- Identify and extract differentially...
- Apply Gene Ontology (GO) analysis o...
- 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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