A Machine Learning Framework Enables Supervised Treatment Response Prediction from Tumor Transcriptomics across Cancer Types.
- DOI
- 10.1158/0008-5472.can-25-5220
- Published
- 2026 Sep 24
- Container
- Cancer research
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
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
Source records
- pubmed · retrieved 2026-09-26T08:19:02.102Z