Work

Towards a Mixed Learning Strategy for Discovering New Gene Signatures in Breast Cancer Prognosis

Year: 2024

Type: conference-paper

Source: IEEE Biennial Congress of Argentina (ARGENCON)

DOI: 10.1109/argencon62399.2024.10735947

Authors: Cristhian Cola-Pilicita, Mateo Martínez-Mejía, Eduardo Alba, Yovani Marrero-Ponce, Noel Pérez-Pérez

Institution: Universidad San Francisco de Quito

Language: English

Topic: Gene expression and cancer classification

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4404036273

FWCI:

Cites: 31

Cited by:

Related to: 10