View in EDS

Coxmos: interpretable survival models for high-dimensional and multi-omic data.

Saved in:
Bibliographic Details
Title: Coxmos: interpretable survival models for high-dimensional and multi-omic data.
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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42141472
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Coxmos: interpretable survival models for high-dimensional and multi-omic data.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Salguero+P%22">Salguero P</searchLink>; Department of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, Valencia, 46022, Spain.<br /><searchLink fieldCode="AU" term="%22Buendía-Galera+A%22">Buendía-Galera A</searchLink>; Department of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, Valencia, 46022, Spain.<br /><searchLink fieldCode="AU" term="%22Tarazona+S%22">Tarazona S</searchLink>; Department of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, Valencia, 46022, Spain. sotacam@eio.upv.es.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101319161%22">BioData mining</searchLink> [BioData Min] 2026 May 15; Vol. 19 (1). <i>Date of Electronic Publication: </i>2026 May 15.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101319161 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>1756-0381 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217560381%22">17560381 </searchLink><i>NLM ISO Abbreviation: </i>BioData Min <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42141472
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1186/s13040-026-00559-9
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Coxmos: interpretable survival models for high-dimensional and multi-omic data.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Salguero P
      – PersonEntity:
          Name:
            NameFull: Buendía-Galera A
      – PersonEntity:
          Name:
            NameFull: Tarazona S
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 05
              Text: 2026 May 15
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 1756-0381
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: BioData mining
              Type: main
ResultId 1