Miscellaneous R script to wrangle data and generate visualizations
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Updated
Aug 14, 2024 - R
Miscellaneous R script to wrangle data and generate visualizations
Analysing practical examples by using principal component analysis (PCA) and Clustring
This workflow identifies stage-specific transcription factor expression modules in time-series bulk RNA-seq data. The goal is to characterize the "waves" of TF expression that define each stage of a differentiation time-course, then use these control TF clusters as a baseline for assessing how experimental conditions alter this expression
RDS class assignment: reproducible R workflow for gene-expression data—validates inputs, applies log2(+1) transform, maps gene IDs to LongName/Type, and generates two heatmaps plus a treatment-group boxplot. Includes a brief PDF report.
Raw scripts for annotation, Venn, heatmap, STRINGdb, and machine learning (ML) workflows.
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