Unbiased clustering methods
After DEG analysis, the RNA-seq dataset becomes a matrix of vertically-organised vectors, where the rows correspond to the genes (with identifiers associated with gene annotation databases) and the columns to attributes such as fold-change (e.g., up-regulated, downregulated, non-differentially regulated genes), p-value, FDR corrected p-value, or other relevant information and measures (Table 5.1). At this point, the numerosity of the data could easily overwhelm the human user and it is not unusual for a ‘wet-lab’ scientist to struggle and fail to extract relevant information from and make biological sense out of long lists of DEGs.
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