| Feature (gene) selection in gene expression-based tumor classification M Xiong, W Li, J Zhao, L Jin, E Boerwinkle Molecular genetics and metabolism 73 (3), 239-247, 2001 | 197 | 2001 |
| An approach to studying lung cancer-related proteins in human blood T Xiao, W Ying, L Li, Z Hu, Y Ma, L Jiao, J Ma, Y Cai, D Lin, S Guo, N Han, ... Molecular & cellular proteomics 4 (10), 1480-1486, 2005 | 189 | 2005 |
| Computational methods for gene expression-based tumor classification M Xiong, L Jin, W Li, E Boerwinkle Biotechniques 29 (6), 1264-1270, 2000 | 102 | 2000 |
| Identification and verification of microRNA in wheat (Triticum aestivum) W Jin, N Li, B Zhang, F Wu, W Li, A Guo, Z Deng Journal of plant research 121, 351-355, 2008 | 96 | 2008 |
| Predicting sRNAs and their targets in bacteria W Li, X Ying, Q Lu, L Chen Genomics, Proteomics and Bioinformatics 10 (5), 276-284, 2012 | 88 | 2012 |
| sRNATarBase: a comprehensive database of bacterial sRNA targets verified by experiments Y Cao, J Wu, Q Liu, Y Zhao, X Ying, L Cha, L Wang, W Li Rna 16 (11), 2051-2057, 2010 | 69 | 2010 |
| sRNATarget: a web server for prediction of bacterial sRNA targets Y Cao, Y Zhao, L Cha, X Ying, L Wang, N Shao, W Li Bioinformation 3 (8), 364, 2009 | 65 | 2009 |
| sTarPicker: a method for efficient prediction of bacterial sRNA targets based on a two-step model for hybridization X Ying, Y Cao, J Wu, Q Liu, L Cha, W Li PLoS One 6 (7), e22705, 2011 | 63 | 2011 |
| Identification of a Tumor-Suppressive Human-Specific MicroRNA within the FHIT Tumor-Suppressor Gene B Hu, X Ying, J Wang, J Piriyapongsa, IK Jordan, J Sheng, F Yu, P Zhao, ... Cancer research 74 (8), 2283-2294, 2014 | 61 | 2014 |
| Predicting siRNA efficiency. W Li, L Cha Cellular and molecular life sciences: CMLS 64 (14), 1785-1792, 2007 | 60 | 2007 |
| RNAIII activates map expression by forming an RNA–RNA complex in Staphylococcus aureus Y Liu, C Mu, X Ying, W Li, N Wu, J Dong, Y Gao, N Shao, M Fan, G Yang FEBS letters 585 (6), 899-905, 2011 | 58 | 2011 |
| A modified visual loop-mediated isothermal amplification method for diagnosis and differentiation of main pathogens from Mycobacterium tuberculosis complex M Hong, L Zha, W Fu, M Zou, W Li, D Xu World Journal of Microbiology and Biotechnology 28, 523-531, 2012 | 57 | 2012 |
| Tclass: tumor classification system based on gene expression profile L Wuju, X Momiao Bioinformatics 18 (2), 325-326, 2002 | 55 | 2002 |
| sRNATarBase 3.0: an updated database for sRNA-target interactions in bacteria J Wang, T Liu, B Zhao, Q Lu, Z Wang, Y Cao, W Li Nucleic Acids Research 44 (D1), D248-D253, 2016 | 52 | 2016 |
| Deep learning methods improve linear B-cell epitope prediction T Liu, K Shi, W Li BioData mining 13, 1-13, 2020 | 50 | 2020 |
| The potential biomarker panels for identification of major depressive disorder (MDD) patients with and without early life stress (ELS) by metabonomic analysis X Ding, S Yang, W Li, Y Liu, Z Li, Y Zhang, L Li, S Liu PLoS One 9 (5), e97479, 2014 | 48 | 2014 |
| Immune receptor repertoires in pediatric and adult acute myeloid leukemia J Zhang, X Hu, J Wang, AD Sahu, D Cohen, L Song, Z Ouyang, J Fan, ... Genome medicine 11, 1-11, 2019 | 46 | 2019 |
| Construction of two mathematical models for prediction of bacterial sRNA targets Y Zhao, H Li, Y Hou, L Cha, Y Cao, L Wang, X Ying, W Li Biochemical and biophysical research communications 372 (2), 346-350, 2008 | 44 | 2008 |
| Large-scale brain network coupling predicts total sleep deprivation effects on cognitive capacity Y Lei, Y Shao, L Wang, T Zhai, F Zou, E Ye, X Jin, W Li, J Qi, Z Yang PloS one 10 (7), e0133959, 2015 | 39 | 2015 |
| Predicting linear B-cell epitopes using amino acid anchoring pair composition W Shen, Y Cao, L Cha, X Zhang, X Ying, W Zhang, K Ge, W Li, L Zhong BioData mining 8, 1-12, 2015 | 38 | 2015 |
