View in EDS HTML Full Text PDF Full Text

Integrating Genome-Scale Metabolic Modeling with Machine Learning Improves Gene Essentiality Prediction in Triple-Negative Breast Cancer.

Saved in:
Bibliographic Details
Title: Integrating Genome-Scale Metabolic Modeling with Machine Learning Improves Gene Essentiality Prediction in Triple-Negative Breast Cancer.
Authors: Kim, Bo Kyung1 (AUTHOR), Gu, Changdai2,3 (AUTHOR), Farh, Mohamed El-Agamy3,4 (AUTHOR), Ryu, Jae Yong4,5 (AUTHOR) jyryu@ssu.ac.kr
Source: International Journal of Molecular Sciences. Jun2026, Vol. 27 Issue 11, p5059. 15p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 194582730
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Integrating Genome-Scale Metabolic Modeling with Machine Learning Improves Gene Essentiality Prediction in Triple-Negative Breast Cancer.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Kim%2C+Bo+Kyung%22">Kim, Bo Kyung</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gu%2C+Changdai%22">Gu, Changdai</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Farh%2C+Mohamed+El-Agamy%22">Farh, Mohamed El-Agamy</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ryu%2C+Jae+Yong%22">Ryu, Jae Yong</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<i> jyryu@ssu.ac.kr</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Molecular+Sciences%22">International Journal of Molecular Sciences</searchLink>. Jun2026, Vol. 27 Issue 11, p5059. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194582730
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/ijms27115059
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 5059
    Titles:
      – TitleFull: Integrating Genome-Scale Metabolic Modeling with Machine Learning Improves Gene Essentiality Prediction in Triple-Negative Breast Cancer.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kim, Bo Kyung
      – PersonEntity:
          Name:
            NameFull: Gu, Changdai
      – PersonEntity:
          Name:
            NameFull: Farh, Mohamed El-Agamy
      – PersonEntity:
          Name:
            NameFull: Ryu, Jae Yong
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 16616596
          Numbering:
            – Type: volume
              Value: 27
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: International Journal of Molecular Sciences
              Type: main
ResultId 1