Back to search

Article

Comprehensive patient-level classification and quantification of driver events in TCGA PanCanAtlas cohorts

2021-03-18

Abstract excerpt

There is a growing need to develop novel therapeutics for targeted treatment of cancer. The prerequisite to success is the knowledge about which types of molecular alterations are predominantly driving tumorigenesis. To shed light onto this subject, we have utilized the largest database of human cancer mutations – TCGA PanCanAtlas, multiple established algorithms for cancer driver prediction (2020plus, CHASMplus,...

Topics

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

Identifiers and source

Literature Corpus work
1ec73824-af9c-5741-bf40-38b55f1f1a45
DOI
10.1101/2021.03.17.435828
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.
Comprehensive patient-level classification and quantification of driver events in TCGA PanCanAtlas cohortsDOI 10.1101/2021.03.17.435828
Select a neighboring publication to make it the new centre.