A Machine Learning Framework Enables Supervised Treatment Response Prediction from Tumor Transcriptomics across Cancer Types.

Pal LR, Gertz EM, Nair NU, Mukherjee S, Patiyal S, Cantore T, Campagnolo EM, Chang TG, Dhruba SR, Kim Y, Shulman ED, Rajagopal PS, Hoang DT, Hannenhalli S, Schäffer AA, Ruppin E

Open source

DOI
10.1158/0008-5472.can-25-5220
Published
2026 Sep 24
Container
Cancer research
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1158/0008-5472.can-25-5220,
  title = {A Machine Learning Framework Enables Supervised Treatment Response Prediction from Tumor Transcriptomics across Cancer Types.},
  author = {Pal LR and Gertz EM and Nair NU and Mukherjee S and Patiyal S and Cantore T and Campagnolo EM and Chang TG and Dhruba SR and Kim Y and Shulman ED and Rajagopal PS and Hoang DT and Hannenhalli S and Schäffer AA and Ruppin E},
  year = {2026},
  journal = {Cancer research},
  doi = {10.1158/0008-5472.can-25-5220},
  url = {https://doi.org/10.1158/0008-5472.can-25-5220}
}

RIS

TY  - JOUR
TI  - A Machine Learning Framework Enables Supervised Treatment Response Prediction from Tumor Transcriptomics across Cancer Types.
AU  - Pal LR
AU  - Gertz EM
AU  - Nair NU
AU  - Mukherjee S
AU  - Patiyal S
AU  - Cantore T
AU  - Campagnolo EM
AU  - Chang TG
AU  - Dhruba SR
AU  - Kim Y
AU  - Shulman ED
AU  - Rajagopal PS
AU  - Hoang DT
AU  - Hannenhalli S
AU  - Schäffer AA
AU  - Ruppin E
PY  - 2026
JO  - Cancer research
DO  - 10.1158/0008-5472.can-25-5220
UR  - https://doi.org/10.1158/0008-5472.can-25-5220
ER  - 

APA

LR, P., EM, G., NU, N., S, M., S, P., T, C., EM, C., TG, C., SR, D., Y, K., ED, S., PS, R., DT, H., S, H., AA, S., & E, R. (2026). A Machine Learning Framework Enables Supervised Treatment Response Prediction from Tumor Transcriptomics across Cancer Types.. Cancer research. https://doi.org/10.1158/0008-5472.can-25-5220

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