A Copula Based Approach for Design of Multivariate Random Forests for Drug Sensitivity Prediction

Saad Haider; Raziur Rahman; Souparno Ghosh; Ranadip Pal

doi:10.1371/journal.pone.0144490

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Open Access

Peer-reviewed

Research Article

A Copula Based Approach for Design of Multivariate Random Forests for Drug Sensitivity Prediction

Saad Haider,

Affiliation Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas, United States of America
⨯
Raziur Rahman,

Affiliation Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas, United States of America
⨯
Souparno Ghosh,

Affiliation Department of Mathematics and Statistics, Texas Tech University, Lubbock, Texas, United States of America
⨯
Ranadip Pal

* E-mail: ranadip.pal@ttu.edu

Affiliation Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas, United States of America
⨯

A Copula Based Approach for Design of Multivariate Random Forests for Drug Sensitivity Prediction

Saad Haider,
Raziur Rahman,
Souparno Ghosh,
Ranadip Pal

Published: December 10, 2015
https://doi.org/10.1371/journal.pone.0144490

About the Authors

Saad Haider

Affiliation Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas, United States of America

Raziur Rahman

Affiliation Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas, United States of America

Souparno Ghosh

Affiliation Department of Mathematics and Statistics, Texas Tech University, Lubbock, Texas, United States of America

Ranadip Pal

* E-mail: ranadip.pal@ttu.edu

Affiliation Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas, United States of America

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: SH RP. Performed the experiments: SH RR. Analyzed the data: SH RR SG RP. Contributed reagents/materials/analysis tools: SH RR SG RP. Wrote the paper: SH RR RP.

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