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An Integrated Approach to Anti-Cancer Drug Sensitivity Prediction.
Berlow N, Haider S, Wan Q, Geltzeiler M, Davis LE, Keller C, Pal R. Berlow N, et al. Among authors: pal r. IEEE/ACM Trans Comput Biol Bioinform. 2014 Nov-Dec;11(6):995-1008. doi: 10.1109/TCBB.2014.2321138. IEEE/ACM Trans Comput Biol Bioinform. 2014. PMID: 26357038
IntegratedMRF: random forest-based framework for integrating prediction from different data types.
Rahman R, Otridge J, Pal R. Rahman R, et al. Among authors: pal r. Bioinformatics. 2017 May 1;33(9):1407-1410. doi: 10.1093/bioinformatics/btw765. Bioinformatics. 2017. PMID: 28334269 Free PMC article.
SUMMARY: IntegratedMRF is an open-source R implementation for integrating drug response predictions from various genomic characterizations using univariate or multivariate random forests that includes various options for error estimation techniques. ...CONTACT: ranadip. …
SUMMARY: IntegratedMRF is an open-source R implementation for integrating drug response predictions from various genomic characteriza …
Investigation of model stacking for drug sensitivity prediction.
Matlock K, De Niz C, Rahman R, Ghosh S, Pal R. Matlock K, et al. Among authors: pal r. BMC Bioinformatics. 2018 Mar 21;19(Suppl 3):71. doi: 10.1186/s12859-018-2060-2. BMC Bioinformatics. 2018. PMID: 29589559 Free PMC article.
1,492 results