The potential of deep learning on the discovery of new genes implicated in differences of sex development.

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Bibliographic Details
Title: The potential of deep learning on the discovery of new genes implicated in differences of sex development.
Authors: von der Decken I; Endocrinology division, Section of Medicine, University of Fribourg, Fribourg, Switzerland., Azimi H; Endocrinology division, Section of Medicine, University of Fribourg, Fribourg, Switzerland., Lauber-Biason A; Endocrinology division, Section of Medicine, University of Fribourg, Fribourg, Switzerland.
Source: Computational and structural biotechnology journal [Comput Struct Biotechnol J] 2025 Dec 29; Vol. 31, pp. 221-234. Date of Electronic Publication: 2025 Dec 29 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology Country of Publication: Netherlands NLM ID: 101585369 Publication Model: eCollection Cited Medium: Print ISSN: 2001-0370 (Print) Linking ISSN: 20010370 NLM ISO Abbreviation: Comput Struct Biotechnol J Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2001-0370
DOI:10.1016/j.csbj.2025.12.019