Back to search

Article

An explainable machine learning data analytics method using TIGIT-linked genes for identifying biomarker signatures to clinical outcomes

2023-12-07

Abstract excerpt

<h4>ABSTRACT</h4> In the last decade, immunotherapies targeting immune checkpoint inhibitors have been extremely effective in eliminating subsets of some cancers in some patients. Multi-modal immune and non-immune factors that contribute to clinical outcomes have been utilized for predicting response to therapies and developing diagnostics. However, these data analytic methods involve a combination of complex mat...

Topics

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

Identifiers and source

Literature Corpus work
be811ad1-5723-5929-a3c8-5e554132b86b
DOI
10.1101/2023.12.05.570321
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.
An explainable machine learning data analytics method using TIGIT-linked genes for identifying biomarker signatures to clinical outcomesDOI 10.1101/2023.12.05.570321
Select a neighboring publication to make it the new centre.