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Fu-Ying Dao

Showing results (11-20 of 31) with videos related to

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Current Drug Targets|October 3, 2018
A Survey for Predicting Enzyme Family Classes Using Machine Learning MethodsJiu-Xin Tan, Hao Lv, Fang Wang, et al.
Frontiers in Cell and Developmental Biology|November 12, 2020
Early Diagnosis of Pancreatic Ductal Adenocarcinoma by Combining Relative Expression Orderings With Machine-Learning MethodZi-Mei Zhang, Jia-Shu Wang, Hasan Zulfiqar, et al.
International Journal of Molecular Sciences|February 15, 2022
Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in <i>Geobacter pickeringii</i> by Using Correlation-Based Feature Selection TechniqueHasan Zulfiqar, Qin-Lai Huang, Hao Lv, et al.
Briefings in Bioinformatics|February 26, 2021
A sequence-based deep learning approach to predict CTCF-mediated chromatin loopHao Lv, Fu-Ying Dao, Hasan Zulfiqar, et al.
Briefings in Bioinformatics|October 25, 2020
Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning methodHao Lv, Fu-Ying Dao, Zheng-Xing Guan, et al.
Briefings in Bioinformatics|March 22, 2021
iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural networkFu-Ying Dao, Hao Lv, Wei Su, et al.
Briefings in Bioinformatics|October 22, 2019
A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiaeHui Yang, Wuritu Yang, Fu-Ying Dao, et al.
Frontiers in Bioengineering and Biotechnology|April 16, 2020
Early Diagnosis of Hepatocellular Carcinoma Using Machine Learning MethodZi-Mei Zhang, Jiu-Xin Tan, Fang Wang, et al.
Bioinformatics (Oxford, England)|November 15, 2018
Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection techniqueFu-Ying Dao, Hao Lv, Fang Wang, et al.
Briefings in Bioinformatics|February 18, 2020
A computational platform to identify origins of replication sites in eukaryotesFu-Ying Dao, Hao Lv, Hasan Zulfiqar, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
Current Drug Targets|October 3, 2018
A Survey for Predicting Enzyme Family Classes Using Machine Learning MethodsJiu-Xin Tan, Hao Lv, Fang Wang, et al.
Frontiers in Cell and Developmental Biology|November 12, 2020
Early Diagnosis of Pancreatic Ductal Adenocarcinoma by Combining Relative Expression Orderings With Machine-Learning MethodZi-Mei Zhang, Jia-Shu Wang, Hasan Zulfiqar, et al.
International Journal of Molecular Sciences|February 15, 2022
Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in <i>Geobacter pickeringii</i> by Using Correlation-Based Feature Selection TechniqueHasan Zulfiqar, Qin-Lai Huang, Hao Lv, et al.
Briefings in Bioinformatics|February 26, 2021
A sequence-based deep learning approach to predict CTCF-mediated chromatin loopHao Lv, Fu-Ying Dao, Hasan Zulfiqar, et al.
Briefings in Bioinformatics|October 25, 2020
Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning methodHao Lv, Fu-Ying Dao, Zheng-Xing Guan, et al.
Briefings in Bioinformatics|March 22, 2021
iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural networkFu-Ying Dao, Hao Lv, Wei Su, et al.
Briefings in Bioinformatics|October 22, 2019
A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiaeHui Yang, Wuritu Yang, Fu-Ying Dao, et al.
Frontiers in Bioengineering and Biotechnology|April 16, 2020
Early Diagnosis of Hepatocellular Carcinoma Using Machine Learning MethodZi-Mei Zhang, Jiu-Xin Tan, Fang Wang, et al.
Bioinformatics (Oxford, England)|November 15, 2018
Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection techniqueFu-Ying Dao, Hao Lv, Fang Wang, et al.
Briefings in Bioinformatics|February 18, 2020
A computational platform to identify origins of replication sites in eukaryotesFu-Ying Dao, Hao Lv, Hasan Zulfiqar, et al.
Pageof 4