Back to search

Article

Reboot: a straightforward approach to identify genes and splicing isoforms associated with cancer patient prognosis

2020-08-18

Abstract excerpt

Nowadays, the massive amount of data generated by modern sequencing technologies provides an unprecedented opportunity to find genes associated with cancer patient prognosis, connecting basic and translational research. However, treating high dimensionality of gene expression data and integrating it with clinical variables are major challenges to carry out these analyses. Here, we present Reboot, an original and e...

Topics

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

Identifiers and source

Literature Corpus work
bf89b1fe-ddad-5c0b-8600-7f4934c73fe2
DOI
10.1101/2020.08.18.255752
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.
Reboot: a straightforward approach to identify genes and splicing isoforms associated with cancer patient prognosisDOI 10.1101/2020.08.18.255752
Select a neighboring publication to make it the new centre.