iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data
Zhen Chen(Qingdao University), Jiangning Song(Australian Regenerative Medicine Institute), Pei Zhao(Cotton Research Institute), Tatiana T. Marquez‐Lago(University of Alabama at Birmingham), André Leier(University of Alabama at Birmingham), A. Ian Smith(Australian Regenerative Medicine Institute), Geoffrey I. Webb(Monash University), Jerico Revote(Australian Regenerative Medicine Institute), Roger J. Daly(Discovery Institute), Fuyi Li(Australian Regenerative Medicine Institute), Jian Li(Beijing Hospital), Yan Zhu(Australian Regenerative Medicine Institute), David Powell(Australian Regenerative Medicine Institute), Kuo‐Chen Chou(The Gordon Life Science Institute), Tatsuya Akutsu(Kyoto University)
Cited by 436
Related Papers
Multi-criteria Optimization
|Encyclopedia of Machine Learning and Data Mining|2017|2.2k
Learning Bayesian Networks
|Encyclopedia of Machine Learning and Data Mining|2017|1.4k
Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization
|PLoS ONE|2010|1.2k
Multiple Classifier Systems
|Encyclopedia of Machine Learning and Data Mining|2017|1k
Encyclopedia of Machine Learning and Data Mining
|Unknown|2017|912