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]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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