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A new interpretable machine learning approach for single-cell data discovers correlates of clinical outcome in cancer immunotherapy

Year: 2020

Type: conference-abstract

Source: The Journal of Immunology

DOI: 10.4049/jimmunol.204.supp.86.2

Authors: Finak Greg, Evan Greene, Leonard D’Amico, Nina Bhardwaj, Candice Church, Chihiro Morishima, Nirasha Ramchurren, Janis Taube, Paul Nghiem, Martin Cheever, Steven Fling, Raphael Gottardo

Institutions: Fred Hutch Cancer Center, Icahn School of Medicine at Mount Sinai, University of Washington, Johns Hopkins University

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4313373528

Cites:

Cited by: 1

Related to: 10