(Invited talk) Individualized multi-omic pathway deviation scores using multiple factor analysis

EuroBioc 2019

December 9, 2019

Abstract

Malignant progression of normal tissue is typically driven by complex networks of somatic changes, including genetic mutations, copy number aberrations, epigenetic changes, and transcriptional reprogramming. To delineate aberrant multi-omic tumor features that correlate with clinical outcomes, we present a novel pathway-centric tool based on the multiple factor analysis framework called padma. Using a multi-omic consensus representation, padma quantifies and characterizes individualized pathway-specific multi-omic deviations and their underlying drivers, with respect to the sampled population. We demonstrate the utility of padma to correlate patient outcomes with complex genetic, epigenetic, and transcriptomic perturbations in clinically actionable pathways in breast and lung cancer.

Date

December 9, 2019

Time

10:00 AM – 10:30 AM

Location

Brussels, Belgium

Posted on:
December 9, 2019
Length:
0 minute read, 0 words
Categories:
conference
See Also: