Back to search

Article

Individualized multi-omic pathway deviation scores using multiple factor analysis

2019-11-01

Abstract excerpt

<h4> S ummary </h4> 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 pad...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4b052c27-c194-5f0b-bfce-086d0102ac35
DOI
10.1101/827022
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Individualized multi-omic pathway deviation scores using multiple factor analysisDOI 10.1101/827022
Select a neighboring publication to make it the new centre.