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WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer
May 8, 2024, 4:42 a.m. | Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh AP, Vaibhav Rajan
cs.LG updates on arXiv.org arxiv.org
Abstract: Cancer, a leading cause of death globally, occurs due to genomic changes and manifests heterogeneously across patients. To advance research on personalized treatment strategies, the effectiveness of various drugs on cells derived from cancers (`cell lines') is experimentally determined in laboratory settings. Nevertheless, variations in the distribution of genomic data and drug responses between cell lines and humans arise due to biological and environmental differences. Moreover, while genomic profiles of many cancer patients are readily …
abstract advance arxiv cancer cells cs.ai cs.lg death drugs genomic laboratory patients personalized prediction q-bio.qm representation representation learning research strategies supervision treatment type
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