Back to search

Article

ITNR: Inversion Transformer-based Neural Ranking for Cancer Drug Recommendations

2023-03-20

Abstract excerpt

<h4>ABSTRACT</h4> Personalized drug response prediction is an approach for tailoring effective therapeutic strategies for patients based on their tumors’ genomic characterization. The current study introduces a new listwise Learning-to-rank (LTR) model called Inversion Transformer-based Neural Ranking (ITNR). ITNR utilizes genomic features and a transformer architecture to decipher functional relationships and co...

Topics

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

Identifiers and source

Literature Corpus work
22cbb8da-ec6c-5e8b-b332-f81c096258d7
DOI
10.1101/2023.03.16.533057
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.
ITNR: Inversion Transformer-based Neural Ranking for Cancer Drug RecommendationsDOI 10.1101/2023.03.16.533057
Select a neighboring publication to make it the new centre.