Back to search

Article

MOT: a Multi-Omics Transformer for multiclass classification tumour types predictions

2022-11-14

Abstract excerpt

<title>Abstract</title> <p>Motivation: Breakthroughs in high-throughput technologies and machine learning methods have enabled the shift towards multi-omics modeling as the preferred mean to understand the mechanisms underlying biological processes, and to improve complex disease prognosis in clinical settings. However, most multi-omic studies only use transcriptomics and epigenomics due to their over-representat...

Topics

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

Identifiers and source

Literature Corpus work
34a38ed7-9744-5660-b98a-d179abcc8b35
DOI
10.21203/rs.3.rs-1348696/v2
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.
MOT: a Multi-Omics Transformer for multiclass classification tumour types predictionsDOI 10.21203/rs.3.rs-1348696/v2
Select a neighboring publication to make it the new centre.