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Abstract 2724: A machine learning approach to classify breast cancer receptor subtype using genomic features.

Year: 2026

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2026-2724

Authors: Sandro Satta, Philip Miller, Samuel Rivero-Hinojosa, Ekaterina Kalashnikova, Angel Rodriguez, Minetta C. Liu

Institution: Natera (United States)

Language: English

Topic: Breast Cancer Treatment Studies

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7148887796

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