Back to search

Article

Assessment of the evolutionary consequence of putative driver mutations in colorectal cancer with spatial multiomic data

2021-07-14

Abstract excerpt

Cancer genomic medicine relies on targeting driver genes. However, current catalogues of cancer drivers are mostly based on indirect measurements of mutation frequencies, positions or types, rather than their effect on clonal expansions in vivo . Moreover, non-genetic drivers are largely unknown, as are the epigenetic and transcriptomic effects of genetic drivers. Here we perform spatial computational inference o...

Topics

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

Identifiers and source

Literature Corpus work
3acd4d0c-72a0-5479-91f0-ccdafef4f72c
DOI
10.1101/2021.07.14.451265
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.
Assessment of the evolutionary consequence of putative driver mutations in colorectal cancer with spatial multiomic dataDOI 10.1101/2021.07.14.451265
Select a neighboring publication to make it the new centre.