| 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 | 489 | 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 | 296 | 2016 |
| 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 | 243 | 2018 |
| The non-negative matrix factorization toolbox for biological data mining Y Li, A Ngom Source code for biology and medicine 8, 1-15, 2013 | 222 | 2013 |
| Genome-wide prediction of cis-regulatory regions using supervised deep learning methods Y Li, W Shi, WW Wasserman BMC bioinformatics 19, 1-14, 2018 | 137 | 2018 |
| 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 | 83 | 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 | 77 | 2015 |
| Sparse representation approaches for the classification of high-dimensional biological data Y Li, A Ngom BMC systems biology 7, 1-14, 2013 | 68 | 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 | 57 | 2010 |
| Classification approach based on non-negative least squares Y Li, A Ngom Neurocomputing 118, 41-57, 2013 | 55 | 2013 |
| 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 | 53 | 2015 |
| 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 | 44 | 2013 |
| 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), 37324, 2016 | 43 | 2016 |
| 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 | 40 | 2012 |
| Data integration in machine learning Y Li, A Ngom 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015 | 34 | 2015 |
| Deep evolutionary learning for molecular design K Grantham, M Mukaidaisi, HK Ooi, MS Ghaemi, A Tchagang, Y Li IEEE Computational Intelligence Magazine 17 (2), 14-28, 2022 | 26 | 2022 |
| 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 | 23 | 2020 |
| 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 | 23 | 2008 |
| Multi-objective drug design based on graph-fragment molecular representation and deep evolutionary learning M Mukaidaisi, A Vu, K Grantham, A Tchagang, Y Li Frontiers in Pharmacology 13, 920747, 2022 | 22 | 2022 |
| 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 | 21 | 2011 |
Wyeth WassermanProfessor of Medical Genetics, University of British ColumbiaVerified email at cmmt.ubc.ca
