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Abstract 3686: Multi-tensor AI/ML uniquely able to identify mechanistically interpretable and actionable predictors from small-cohort and noisy high-dimensional multi-omic clinical data

Year: 2025

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2025-3686

Authors: Orly Alter, Marissa Coppola, Tessa O. House, Jessica W. Tsai

Institutions: University of Utah, University of Southern California, Children's Hospital of Los Angeles

Language: English

Topic: Tensor decomposition and applications

Subfield: Computational Mathematics

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4409624571

Cites:

Cited by: 1

Related to: 10