Figure 1: Principal component analysis (PCA) of a gene expression data set. We can reduce the dimensionality of our two-dimensional expression profiles to a single dimension by projecting each ...

Cutting-edge framework deciphers the complexities of gene expression ... Traditional approaches, like principal component analysis (PCA) and linear regression, often struggle to capture complex ...

Reverse Transcription Quantitative PCR (RT-qPCR) Custom primer pairs target genes of interest, and fluorescence from reporter molecules measured over time indicates gene expression. While RT-qPCR is ...