Deciphering the potential pathogenic mechanisms of 3-BHA in ovarian cancer through integrated bioinformatics and machine learning strategies.

Saved in:
Bibliographic Details
Title: Deciphering the potential pathogenic mechanisms of 3-BHA in ovarian cancer through integrated bioinformatics and machine learning strategies.
Authors: Shi Y; Graduate School of Nanjing, University of Traditional Chinese Medicine, Nanjing, 210023, Jiangsu, China., Niu D; Graduate School of Nanjing, University of Traditional Chinese Medicine, Nanjing, 210023, Jiangsu, China., Jin C; Wuxi Hospital, Nanjing University of Chinese Medicine, Wuxi, 214071, Jiangsu, China. wxzy013@njucm.edu.cn.
Source: Discover oncology [Discov Oncol] 2026 May 03; Vol. 17 (1). Date of Electronic Publication: 2026 May 03.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101775142 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-6011 (Electronic) Linking ISSN: 27306011 NLM ISO Abbreviation: Discov Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42070192
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Deciphering the potential pathogenic mechanisms of 3-BHA in ovarian cancer through integrated bioinformatics and machine learning strategies.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Shi+Y%22">Shi Y</searchLink>; Graduate School of Nanjing, University of Traditional Chinese Medicine, Nanjing, 210023, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Niu+D%22">Niu D</searchLink>; Graduate School of Nanjing, University of Traditional Chinese Medicine, Nanjing, 210023, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Jin+C%22">Jin C</searchLink>; Wuxi Hospital, Nanjing University of Chinese Medicine, Wuxi, 214071, Jiangsu, China. wxzy013@njucm.edu.cn.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101775142%22">Discover oncology</searchLink> [Discov Oncol] 2026 May 03; Vol. 17 (1). <i>Date of Electronic Publication: </i>2026 May 03.
– 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="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101775142 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2730-6011 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2227306011%22">27306011 </searchLink><i>NLM ISO Abbreviation: </i>Discov Oncol <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42070192
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s12672-026-05058-1
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Deciphering the potential pathogenic mechanisms of 3-BHA in ovarian cancer through integrated bioinformatics and machine learning strategies.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Shi Y
      – PersonEntity:
          Name:
            NameFull: Niu D
      – PersonEntity:
          Name:
            NameFull: Jin C
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 03
              M: 05
              Text: 2026 May 03
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2730-6011
          Numbering:
            – Type: volume
              Value: 17
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Discover oncology
              Type: main
ResultId 1