Work

Abstract 1500: Modeling base-pair level mutation rate in metastatic breast cancer using a sequence-based deep learning model

Year: 2026

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2026-1500

Authors: Ariaki Dandawate, Christina Leslie, Ekta Khurana

Institutions: Cornell University, Memorial Sloan Kettering Cancer Center, Weill Cornell Medicine

Language: English

Topic: Cancer Genomics and Diagnostics

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7148714316

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