Personalizing oncology treatments by predicting drug efficacy, side-effects, and improved therapy: mathematics, statistics, and their integration.
- DOI
- 10.1002/wsbm.1263
- Published
- 2014 May-Jun
- Container
- Wiley interdisciplinary reviews. Systems biology and medicine
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1002/wsbm.1263,
title = {Personalizing oncology treatments by predicting drug efficacy, side-effects, and improved therapy: mathematics, statistics, and their integration.},
author = {Agur Z and Elishmereni M and Kheifetz Y},
year = {2014},
journal = {Wiley interdisciplinary reviews. Systems biology and medicine},
doi = {10.1002/wsbm.1263},
url = {https://doi.org/10.1002/wsbm.1263}
}RIS
TY - JOUR TI - Personalizing oncology treatments by predicting drug efficacy, side-effects, and improved therapy: mathematics, statistics, and their integration. AU - Agur Z AU - Elishmereni M AU - Kheifetz Y PY - 2014 JO - Wiley interdisciplinary reviews. Systems biology and medicine DO - 10.1002/wsbm.1263 UR - https://doi.org/10.1002/wsbm.1263 ER -
APA
Z, A., M, E., & Y, K. (2014). Personalizing oncology treatments by predicting drug efficacy, side-effects, and improved therapy: mathematics, statistics, and their integration.. Wiley interdisciplinary reviews. Systems biology and medicine. https://doi.org/10.1002/wsbm.1263
Source records
- pubmed · retrieved 2026-09-25T11:17:21.880Z