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Liqian Zhou

Showing results (1-10 of 45) with videos related to

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Interdisciplinary Sciences, Computational Life Sciences|January 10, 2022
EnANNDeep: An Ensemble-based lncRNA-protein Interaction Prediction Framework with Adaptive k-Nearest Neighbor Classifier and Deep ModelsLihong Peng, Jingwei Tan, Xiongfei Tian, et al.
BMC Bioinformatics|October 5, 2021
LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA-protein interaction identificationLiqian Zhou, Zhao Wang, Xiongfei Tian, et al.
Frontiers in Genetics|December 16, 2022
Editorial: Machine learning-based methods for RNA data analysis-Volume IILihong Peng, Jialiang Yang, Minxian Wang, et al.
Frontiers in Genetics|June 13, 2022
Editorial: Machine Learning-Based Methods for RNA Data AnalysisLihong Peng, Jialiang Yang, Minxian Wang, et al.
Frontiers in Genetics|March 18, 2024
Finding potential lncRNA-disease associations using a boosting-based ensemble learning modelLiqian Zhou, Xinhuai Peng, Lijun Zeng, et al.
Scientific Reports|November 28, 2024
THGB: predicting ligand-receptor interactions by combining tree boosting and histogram-based gradient boostingLiqian Zhou, Jiao Song, Zejun Li, et al.
Scientific Reports|September 24, 2021
A novel lncRNA-protein interaction prediction method based on deep forest with cascade forest structureXiongfei Tian, Ling Shen, Zhenwu Wang, et al.
Frontiers in Aging Neuroscience|July 3, 2023
Identifying potential drug-target interactions based on ensemble deep learningLiqian Zhou, Yuzhuang Wang, Lihong Peng, et al.
Biodata Mining|December 4, 2021
LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classificationLihong Peng, Ruya Yuan, Ling Shen, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 29, 2021
Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural ArchitectureLihong Peng, Chang Wang, Xiongfei Tian, et al.
Pageof 5

Showing results (1-10 of 45) with videos related to

Sort By:
Pageof 5
Interdisciplinary Sciences, Computational Life Sciences|January 10, 2022
EnANNDeep: An Ensemble-based lncRNA-protein Interaction Prediction Framework with Adaptive k-Nearest Neighbor Classifier and Deep ModelsLihong Peng, Jingwei Tan, Xiongfei Tian, et al.
BMC Bioinformatics|October 5, 2021
LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA-protein interaction identificationLiqian Zhou, Zhao Wang, Xiongfei Tian, et al.
Frontiers in Genetics|December 16, 2022
Editorial: Machine learning-based methods for RNA data analysis-Volume IILihong Peng, Jialiang Yang, Minxian Wang, et al.
Frontiers in Genetics|June 13, 2022
Editorial: Machine Learning-Based Methods for RNA Data AnalysisLihong Peng, Jialiang Yang, Minxian Wang, et al.
Frontiers in Genetics|March 18, 2024
Finding potential lncRNA-disease associations using a boosting-based ensemble learning modelLiqian Zhou, Xinhuai Peng, Lijun Zeng, et al.
Scientific Reports|November 28, 2024
THGB: predicting ligand-receptor interactions by combining tree boosting and histogram-based gradient boostingLiqian Zhou, Jiao Song, Zejun Li, et al.
Scientific Reports|September 24, 2021
A novel lncRNA-protein interaction prediction method based on deep forest with cascade forest structureXiongfei Tian, Ling Shen, Zhenwu Wang, et al.
Frontiers in Aging Neuroscience|July 3, 2023
Identifying potential drug-target interactions based on ensemble deep learningLiqian Zhou, Yuzhuang Wang, Lihong Peng, et al.
Biodata Mining|December 4, 2021
LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classificationLihong Peng, Ruya Yuan, Ling Shen, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 29, 2021
Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural ArchitectureLihong Peng, Chang Wang, Xiongfei Tian, et al.
Pageof 5