Browsing by Author Prof. LEUNG Kwong Sak
Showing results 313 to 321 of 321
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Issue Date | Title | Author(s) | Type |
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2015 | The use of random forest to predict binding affinity in docking | Li, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J. | Conference Paper |
1998 | Using a new type of nonlinear integral for multi-regression: An application of evolutionary algorithms in data mining | Xu Kebin ; Wang Zhenyuan ; Prof. LEUNG Kwong Sak | Conference Proceedings |
1999 | Using evolutionary programming and minimum description length principle for data mining of bayesian networks | Wong, Man Leung ; Lam, Wai ; Prof. LEUNG Kwong Sak | Peer Reviewed Journal Article |
2001 | Using generalized choquet integral in projection pursuit based classification | Xu, Kebin ; Wang, Zhenyuan ; Heng, Pheng-Ann ; Prof. LEUNG Kwong Sak | Conference Proceedings |
2007 | Using instruction matrix based genetic programming to evolve programs | Li, Gang ; Lee, Kin Hong ; Prof. LEUNG Kwong Sak | Conference Paper |
2016 | USR-VS: a web server for large-scale prospective virtual screening using ultrafast shape recognition techniques | Li, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-H. ; Ballester, Pedro J. | Peer Reviewed Journal Article |
2015 | ViRBase: a resource for virus–host ncRNA-associated interactions | Li, Yanhui ; Wang, Changliang ; Miao, Zhengqiang ; Bi, Xiaoman ; Wu, Deng ; Jin, Nana ; Wang, Liqiang ; Wu, Hao ; Qian, Kun ; Li, Chunhua ; Zhang, Ting ; Zhang, Chunrui ; Yi, Ying ; Lai, Hongyan ; Hu, Yongfei ; Cheng, Lixin ; Prof. LEUNG Kwong Sak ; Li, Xiaobao ; Zhang, Fengmin ; Li, Kongning ; Li, Xia ; Wang, Dong | Peer Reviewed Journal Article |
2021 | Whole transcriptome analyses identify pairwise gene circuit motif in serous ovarian cancer | Cheng, Lixin ; Zheng, Xubin ; Ling, Rennan ; Gao, Jing ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Yang, Shu ; Liu, Yakun ; Dong, Ming ; Bai, Huimin ; Kang, Lin ; Li, Haili | Peer Reviewed Journal Article |
2022 | Whole transcriptome analysis reveals non-coding RNA's competing endogenous gene pairs as novel form of motifs in serous ovarian cancer | Li, Haili ; Zheng, Xubin ; Gao, Jing ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Yang, Shu ; Liu, Yakun ; Dong, Ming ; Bai, Huimin ; Ye, Xiufeng ; Cheng, Lixin | Peer Reviewed Journal Article |