IntegratedMRF: random forest-based framework for integrating prediction from different data types. Rahman, R., Otridge, J., & Pal, R. Bioinformatics, 33(9):1407–1410, May, 2017. ![IntegratedMRF: random forest-based framework for integrating prediction from different data types [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @article{rahman_integratedmrf_2017,
title = {{IntegratedMRF}: random forest-based framework for integrating prediction from different data types},
volume = {33},
issn = {1367-4803, 1460-2059},
shorttitle = {{IntegratedMRF}},
url = {https://academic.oup.com/bioinformatics/article/33/9/1407/3056950},
doi = {10.1093/bioinformatics/btw765},
language = {en},
number = {9},
urldate = {2021-12-09},
journal = {Bioinformatics},
author = {Rahman, Raziur and Otridge, John and Pal, Ranadip},
editor = {Stegle, Oliver},
month = may,
year = {2017},
pmcid = {PMC5860498},
pmid = {28334269},
keywords = {IntegratedMRF, ML, Machine Learning, MultivariateRandomForest, R-project},
pages = {1407--1410},
}
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