Work

Corrigendum to “Identification of gene regulatory networks associated with breast cancer patient survival using an interpretable deep neural network model” [Expert Syst. Appl. 262 (2025) 125632]

Year: 2025

Type: erratum

Abstract: [This corrects the article PMC11643596.].

Source: Expert Systems with Applications

DOI: 10.1016/j.eswa.2025.126605

Authors: Xue Wang, Vivekananda Sarangi, Daniel P. Wickland, Shaoyu Li, Duan Chen, E.Aubrey Thompson, Garrett Jenkinson, Yan W. Asmann

Institutions: Mayo Clinic in Florida, Mayo Clinic, University of North Carolina at Charlotte, Mayo Clinic Comprehensive Cancer Center (Florida), Johnson & Johnson (United States)

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: hybrid

Estimated APC paid: $3,500

Funder: National Institute of General Medical Sciences

Award: G84417380

OpenAlex ID: W4406750690

Cites:

Cited by: 1

Related to: 10