📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Wave-LSTM: Multi-scale analysis of somatic whole genome copy number profiles (2024)

First Author: Gadd C

Attributed to: Turing AI Fellowship: clinAIcan - developing clinical applications of artificial intelligence for cancer funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Publication URI: https://proceedings.mlr.press/v261/gadd24a.html

Type: Conference/Paper/Proceeding/Abstract

Volume: 261