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Peer-reviewedCC BYCancers

AI-Driven Multi-Omics Approaches for Deciphering Small-Cell Lung Cancer Heterogeneity Using Nucleic-Acid-Based Features

  • Saman Zeeshan1
  • Caila McVey1
  • Shafaq Majeed2
  • Zeeshan Ahmed3
  • Mark Nichols1
  1. 1Department of Biomedical and Health Informatics, School of Medicine, , Kansas City, MO 64110, USA
  2. 2Department of Bio Sciences, COMSATS University, Islamabad 45550, Pakistan
  3. 3Rutgers Institute for Health, Health Care Policy and Aging Research, , New Brunswick, NJ 08901, USA
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Cite

BibTeXRIS
BibTeX
@article{zeeshan2026aidriven,
  title = {{AI-Driven Multi-Omics Approaches for Deciphering Small-Cell Lung Cancer Heterogeneity Using Nucleic-Acid-Based Features}},
  author = {Saman Zeeshan and Caila McVey and Shafaq Majeed and Zeeshan Ahmed and Mark Nichols},
  journal = {Cancers},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13664549},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - AI-Driven Multi-Omics Approaches for Deciphering Small-Cell Lung Cancer Heterogeneity Using Nucleic-Acid-Based Features
AU  - Saman Zeeshan
AU  - Caila McVey
AU  - Shafaq Majeed
AU  - Zeeshan Ahmed
AU  - Mark Nichols
PY  - 2026
DA  - 2026/09/29
JO  - Cancers
UR  - https://europepmc.org/article/PMC/PMC13664549
SN  - 2072-6694
ER  -