A review on machine learning principles for multi-view biological data integration Y Li, FX Wu, A Ngom Briefings in bioinformatics 19 (2), 325-340, 2018 | 388 | 2018 |
Deep feature selection: theory and application to identify enhancers and promoters Y Li, CY Chen, WW Wasserman Journal of Computational Biology 23 (5), 322-336, 2016 | 233 | 2016 |
The non-negative matrix factorization toolbox for biological data mining Y Li, A Ngom Source code for biology and medicine 8 (1), 1-15, 2013 | 197 | 2013 |
Enter the matrix: factorization uncovers knowledge from omics GL Stein-O’Brien, R Arora, AC Culhane, AV Favorov, LX Garmire, ... Trends in Genetics 34 (10), 790-805, 2018 | 174 | 2018 |
Genome-wide prediction of cis-regulatory regions using supervised deep learning methods Y Li, W Shi, WW Wasserman BMC bioinformatics 19 (1), 1-14, 2018 | 112 | 2018 |
Sparse representation approaches for the classification of high-dimensional biological data Y Li, A Ngom BMC systems biology 7 (4), 1-14, 2013 | 66 | 2013 |
Sparse representation approaches for the classification of high-dimensional biological data Y Li, A Ngom BMC systems biology 7 (4), 1-14, 2013 | 66 | 2013 |
Integrated transcriptome and hormone profiling highlight the role of multiple phytohormone pathways in wheat resistance against fusarium head blight L Wang, Q Li, Z Liu, A Surendra, Y Pan, Y Li, LI Zaharia, T Ouellet, ... PLoS One 13 (11), e0207036, 2018 | 63 | 2018 |
The identification of cis-regulatory elements: A review from a machine learning perspective Y Li, C Chen, AM Kaye, WW Wasserman Biosystems 138, 6-17, 2015 | 63 | 2015 |
Classification approach based on non-negative least squares Y Li, A Ngom Neurocomputing 118, 41-57, 2013 | 55 | 2013 |
Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data Y Li, A Ngom 2010 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2010 | 55 | 2010 |
Nonnegative least-squares methods for the classification of high-dimensional biological data Y Li, A Ngom IEEE/ACM transactions on computational biology and bioinformatics 10 (2 …, 2013 | 42 | 2013 |
A new kernel non-negative matrix factorization and its application in microarray data analysis Y Li, A Ngom 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and …, 2012 | 36 | 2012 |
YY1 binding association with sex-biased transcription revealed through X-linked transcript levels and allelic binding analyses C Chen, W Shi, BP Balaton, AM Matthews, Y Li, DJ Arenillas, A Mathelier, ... Scientific reports 6 (1), 1-14, 2016 | 34 | 2016 |
The max-min high-order dynamic Bayesian network for learning gene regulatory networks with time-delayed regulations Y Li, H Chen, J Zheng, A Ngom IEEE/ACM transactions on computational biology and bioinformatics 13 (4 …, 2015 | 31 | 2015 |
Data integration in machine learning Y Li, A Ngom 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015 | 22 | 2015 |
A wrapper feature selection method based on simulated annealing algorithm for prostate protein mass spectrometry data Y Li, Y Liu 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and …, 2008 | 22 | 2008 |
Exploring deep anomaly detection methods based on capsule net X Li, I Kiringa, T Yeap, X Zhu, Y Li Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial …, 2020 | 21 | 2020 |
The max-min high-order dynamic Bayesian network learning for identifying gene regulatory networks from time-series microarray data Y Li, A Ngom 2013 IEEE symposium on computational intelligence in bioinformatics and …, 2013 | 20 | 2013 |
Classification of clinical gene-sample-time microarray expression data via tensor decomposition methods Y Li, A Ngom Computational Intelligence Methods for Bioinformatics and Biostatistics: 7th …, 2011 | 20 | 2011 |