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Danielle Maeser, Robert F. Gruener, R. Stephanie Huang
Cell line drug screening datasets can be utilized for a range of different drug discovery applications from drug biomarker discovery to building translational models of drug response. Previously, we described three separate methodologies to (1) correct for general levels of drug sensitivity to enable drug-specific biomarker discovery, (2) predict clinical drug response in patients and (3) associate these predictions with clinical features to perform in vivo drug biomarker discovery. Here, we unite and update these methodologies into one R package (oncoPredict) to facilitate the development and adoption of these tools. This new OncoPredict R package can be applied to various in vitro and in vivo contexts for drug and biomarker discovery.
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Maeser, D., Gruener, R. F., & Huang, R. S. (2021). oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data. Briefings in Bioinformatics, 22(6). https://doi.org/10.1093/bib/bbab260
Maeser, Danielle, et al. "oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data." Briefings in Bioinformatics, vol. 22, no. 6, 2021, https://doi.org/10.1093/bib/bbab260.
Maeser, Danielle, Robert F. Gruener, and R. Stephanie Huang. "oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data." Briefings in Bioinformatics 22, no. 6 (2021). https://doi.org/10.1093/bib/bbab260.
Maeser D., Gruener R. F., Huang R. S. oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data // Briefings in Bioinformatics. — 2021. — Vol. 22, № 6. — URL: https://doi.org/10.1093/bib/bbab260
@article{maeser2021oncopredict,
title = {{oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data}},
author = {Danielle Maeser and Robert F. Gruener and R. Stephanie Huang},
journal = {Briefings in Bioinformatics},
year = {2021},
volume = {22},
number = {6},
doi = {10.1093/bib/bbab260},
url = {https://doi.org/10.1093/bib/bbab260}
}TY - JOUR AU - Maeser, Danielle AU - Gruener, Robert F. AU - Huang, R. Stephanie TI - oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data JO - Briefings in Bioinformatics VL - 22 IS - 6 PY - 2021 DA - 2021/06/21 DO - 10.1093/bib/bbab260 UR - https://doi.org/10.1093/bib/bbab260 ER -
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