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International Journal of Data Mining and Bioinformatics
|
April 11, 2008
Dynamic algorithm for inferring qualitative models of Gene Regulatory Networks
Yun Zheng, Chee Keong Kwoh
BMC Genomics
|
December 26, 2019
Rule-based meta-analysis reveals the major role of PB2 in influencing influenza A virus virulence in mice
Fransiskus Xaverius Ivan, Chee Keong Kwoh
Briefings in Bioinformatics
|
October 1, 2020
Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach
Yu Zhang, Cangzhi Jia, Chee Keong Kwoh
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
April 19, 2022
Empirical Study of Protein Feature Representation on Deep Belief Networks Trained With Small Data for Secondary Structure Prediction
Shamima Rashid, Suresh Sundaram, Chee Keong Kwoh
BMC Bioinformatics
|
November 13, 2020
Deep learning based DNA:RNA triplex forming potential prediction
Yu Zhang, Yahui Long, Chee Keong Kwoh
BMC Bioinformatics
|
December 5, 2019
An improved random forest-based computational model for predicting novel miRNA-disease associations
Dengju Yao, Xiaojuan Zhan, Chee-Keong Kwoh
Bioinformatics (Oxford, England)
|
March 30, 2010
Multi-threaded vectorized distance matrix computation on the CELL/BE and x86/SSE2 architectures
Adrianto Wirawan, Chee Keong Kwoh, Bertil Schmidt
International Journal of Bioinformatics Research and Applications
|
February 20, 2008
Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model
Deyu Zhou, Yulan He, Chee Keong Kwoh
Current Genomics
|
April 7, 2022
Exploring the Lethality of Human-Adapted Coronavirus Through Alignment-Free Machine Learning Approaches Using Genomic Sequences
Rui Yin, Zihan Luo, Chee Keong Kwoh
Artificial Intelligence in Medicine
|
August 19, 2007
Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions
Deyu Zhou, Yulan He, Chee Keong Kwoh
Page
of 14
Search research articles
Search
Showing results (1-10 of 133) with videos related to
Sort By:
Page
of 14
International Journal of Data Mining and Bioinformatics
|
April 11, 2008
Dynamic algorithm for inferring qualitative models of Gene Regulatory Networks
Yun Zheng, Chee Keong Kwoh
BMC Genomics
|
December 26, 2019
Rule-based meta-analysis reveals the major role of PB2 in influencing influenza A virus virulence in mice
Fransiskus Xaverius Ivan, Chee Keong Kwoh
Briefings in Bioinformatics
|
October 1, 2020
Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach
Yu Zhang, Cangzhi Jia, Chee Keong Kwoh
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
April 19, 2022
Empirical Study of Protein Feature Representation on Deep Belief Networks Trained With Small Data for Secondary Structure Prediction
Shamima Rashid, Suresh Sundaram, Chee Keong Kwoh
BMC Bioinformatics
|
November 13, 2020
Deep learning based DNA:RNA triplex forming potential prediction
Yu Zhang, Yahui Long, Chee Keong Kwoh
BMC Bioinformatics
|
December 5, 2019
An improved random forest-based computational model for predicting novel miRNA-disease associations
Dengju Yao, Xiaojuan Zhan, Chee-Keong Kwoh
Bioinformatics (Oxford, England)
|
March 30, 2010
Multi-threaded vectorized distance matrix computation on the CELL/BE and x86/SSE2 architectures
Adrianto Wirawan, Chee Keong Kwoh, Bertil Schmidt
International Journal of Bioinformatics Research and Applications
|
February 20, 2008
Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model
Deyu Zhou, Yulan He, Chee Keong Kwoh
Current Genomics
|
April 7, 2022
Exploring the Lethality of Human-Adapted Coronavirus Through Alignment-Free Machine Learning Approaches Using Genomic Sequences
Rui Yin, Zihan Luo, Chee Keong Kwoh
Artificial Intelligence in Medicine
|
August 19, 2007
Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions
Deyu Zhou, Yulan He, Chee Keong Kwoh
Page
of 14