View in EDS HTML Full Text PDF Full Text

Identifying Multi-Omics Interactions for Lung Cancer Drug Targets Discovery Using Kernel Machine Regression.

Saved in:
Bibliographic Details
Title: Identifying Multi-Omics Interactions for Lung Cancer Drug Targets Discovery Using Kernel Machine Regression.
Authors: Ahmed, Md. Imtyaz1, Hossain, Md. Delwar1,2, Rahman, Md. Mostafizer2,3, Mia, Md. Shahajada3,4, Watanobe, Yutaka3,5, Habib, Md. Ahsan1,6, Rashid, Md. Mamunur1,4, Reza, Md. Selim2,5, Alam, Md. Ashad3,6
Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11506, 25p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189609581
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Identifying Multi-Omics Interactions for Lung Cancer Drug Targets Discovery Using Kernel Machine Regression.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Ahmed%2C+Md%2E+Imtyaz%22">Ahmed, Md. Imtyaz</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Hossain%2C+Md%2E+Delwar%22">Hossain, Md. Delwar</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Rahman%2C+Md%2E+Mostafizer%22">Rahman, Md. Mostafizer</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Mia%2C+Md%2E+Shahajada%22">Mia, Md. Shahajada</searchLink><relatesTo>3,4</relatesTo><br /><searchLink fieldCode="AU" term="%22Watanobe%2C+Yutaka%22">Watanobe, Yutaka</searchLink><relatesTo>3,5</relatesTo><br /><searchLink fieldCode="AU" term="%22Habib%2C+Md%2E+Ahsan%22">Habib, Md. Ahsan</searchLink><relatesTo>1,6</relatesTo><br /><searchLink fieldCode="AU" term="%22Rashid%2C+Md%2E+Mamunur%22">Rashid, Md. Mamunur</searchLink><relatesTo>1,4</relatesTo><br /><searchLink fieldCode="AU" term="%22Reza%2C+Md%2E+Selim%22">Reza, Md. Selim</searchLink><relatesTo>2,5</relatesTo><br /><searchLink fieldCode="AU" term="%22Alam%2C+Md%2E+Ashad%22">Alam, Md. Ashad</searchLink><relatesTo>3,6</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Nov2025, Vol. 15 Issue 21, p11506, 25p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189609581
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/app152111506
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 11506
    Titles:
      – TitleFull: Identifying Multi-Omics Interactions for Lung Cancer Drug Targets Discovery Using Kernel Machine Regression.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ahmed, Md. Imtyaz
      – PersonEntity:
          Name:
            NameFull: Hossain, Md. Delwar
      – PersonEntity:
          Name:
            NameFull: Rahman, Md. Mostafizer
      – PersonEntity:
          Name:
            NameFull: Mia, Md. Shahajada
      – PersonEntity:
          Name:
            NameFull: Watanobe, Yutaka
      – PersonEntity:
          Name:
            NameFull: Habib, Md. Ahsan
      – PersonEntity:
          Name:
            NameFull: Rashid, Md. Mamunur
      – PersonEntity:
          Name:
            NameFull: Reza, Md. Selim
      – PersonEntity:
          Name:
            NameFull: Alam, Md. Ashad
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 20763417
          Numbering:
            – Type: volume
              Value: 15
            – Type: issue
              Value: 21
          Titles:
            – TitleFull: Applied Sciences (2076-3417)
              Type: main
ResultId 1