Concordance of deregulated mechanisms unveiled in underpowered experiments: PTBP1 knockdown case study

ABSTRACT: Background: Genome-wide transcriptome profiling generated by microarray and RNA-Seq often provides deregulated genes or pathways applicable only to larger cohort. On the other hand, individualized interpretation of transcriptomes is increasely pursued to improve diagnosis, prognosis, and patient treatment processes. Yet, robust and accurate methods based on a single paired-sample remain an unmet challenge. Methods: M-bM-^@M-^\N-of-1-pathwaysM-bM-^@M-^] translates gene expression data profiles into mechanism-level profiles on single pairs of samples (one p-value per geneset). It relies on three principles: i) statistical universe is a single paired sample, which serves as its own control; ii) statistics can be derived from multiple gene expression measures that share common biological mecha

ORGANISM(S): Homo sapiens

SUBMITTER: William Beck 

PROVIDER: E-GEOD-52493 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress