Coxmos: interpretable survival models for high-dimensional and multi-omic data.
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| Title: | Coxmos: interpretable survival models for high-dimensional and multi-omic data. |
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| Authors: | Salguero P; Department of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, Valencia, 46022, Spain., Buendía-Galera A; Department of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, Valencia, 46022, Spain., Tarazona S; Department of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, Valencia, 46022, Spain. sotacam@eio.upv.es. |
| Source: | BioData mining [BioData Min] 2026 May 15; Vol. 19 (1). Date of Electronic Publication: 2026 May 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101319161 Publication Model: Electronic Cited Medium: Print ISSN: 1756-0381 (Print) Linking ISSN: 17560381 NLM ISO Abbreviation: BioData Min Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1756-0381 |
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| DOI: | 10.1186/s13040-026-00559-9 |
