Journal article

iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

Zhen Chen, Pei Zhao, Fuyi Li, Tatiana T Marquez-Lago, Andre Leier, Jerico Revote, Yan Zhu, David R Powell, Tatsuya Akutsu, Geoffrey Webb, Kuo-Chen Chou, A Ian Smith, Roger J Daly, Jian Li, Jiangning Song

Briefings in Bioinformatics | OXFORD UNIV PRESS | Published : 2020

University of Melbourne Researchers

Grants

Awarded by National Health and Medical Research Council of Australia (NHMRC)


Awarded by National Natural Science Foundation of China


Awarded by Australian Research Council


Awarded by National Institute of Allergy and Infectious Diseases of the National Institutes of Health


Awarded by Institute for Chemical Research, Kyoto University


Funding Acknowledgements

This work was supported by grants from the National Health and Medical Research Council of Australia (NHMRC) (APP1127948, APP1144652 and APP490989), the Young Scientists Fund of the National Natural Science Foundation of China (31701142), the Australian Research Council (LP110200333 and DP120104460), the National Institute of Allergy and Infectious Diseases of the National Institutes of Health (R01 AI111965), a Major Inter-Disciplinary Research project awarded by Monash University, and the Collaborative Research Program of Institute for Chemical Research, Kyoto University (2018-28). T.M.L. and A.L.'s work was supported in part by the Informatics Institute of the School of Medicine at the University of Alabama at Birmingham. R.J.D. and J.L. are NHMRC principal research fellows.