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Dataset Information

KMEn: Analyzing noisy and bidirectional transcriptional pathway responses in single subjects.


ABSTRACT:

Motivation

Understanding dynamic, patient-level transcriptomic response to therapy is an important step forward for precision medicine. However, conventional transcriptome analysis aims to discover cohort-level change, lacking the capacity to unveil patient-specific response to therapy. To address this gap, we previously developed two N-of-1-pathways methods, Wilcoxon and Mahalanobis distance, to detect unidirectionally responsive transcripts within a pathway using a pair of samples from a single subject. Yet, these methods cannot recognize bidirectionally (up and down) responsive pathways. Further, our previous approaches have not been assessed in presence of background noise and are not designed to identify differentially expressed mRNAs between two samples of a patient taken in

SUBMITTER: Li Q 

PROVIDER: S-EPMC5316373 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature