FPKM, RPKM, CPM, TPM, TMM in RNA-Seq

RNA-seq expression normalization is the process of adjusting the raw gene expression counts to account for differences in sequencing depth and other technical factors. It is important to perform normalization to enable comparisons between samples and increase the accuracy and reproducibility of downstream analyses. Common normalization methods include TPM, FPKM, and DESeq. Who sad this?
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Gene Set Enrichment Analysis (GESA) in R© Karobben

Gene Set Enrichment Analysis (GESA) in R

Gene Set Enrichment Analysis (GSEA) is a powerful tool for interpreting gene expression data in the context of predefined biological pathways and gene sets. It allows researchers to identify enriched gene sets, discover new relationships between genes, and gain insights into the underlying biological mechanisms. Who sad this?
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RNA-seq with Trinity