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Scientific Reports
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September 24, 2021
A novel lncRNA-protein interaction prediction method based on deep forest with cascade forest structure
Xiongfei Tian, Ling Shen, Zhenwu Wang, et al.
Frontiers in Aging Neuroscience
|
July 3, 2023
Identifying potential drug-target interactions based on ensemble deep learning
Liqian Zhou, Yuzhuang Wang, Lihong Peng, et al.
Environmental Science and Pollution Research International
|
March 4, 2022
Key mitigation regions and strategies for CO<sub>2</sub> emission reduction in China based on STIRPAT and ARIMA models
Jingjing Chen, Yiping Chen, Bingjing Mao, 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 classification
Lihong 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 Architecture
Lihong Peng, Chang Wang, Xiongfei Tian, et al.
Frontiers in Genetics
|
October 25, 2021
Screening Potential Drugs for COVID-19 Based on Bound Nuclear Norm Regularization
Juanjuan Wang, Chang Wang, Ling Shen, et al.
Environmental Technology
|
January 3, 2017
Enrichment culture of denitrifying phosphorus removal sludge and its microbial community analysis
Hongliang Dai, Xiwu Lu, Lihong Peng, et al.
Frontiers in Microbiology
|
November 16, 2020
RNMFMDA: A Microbe-Disease Association Identification Method Based on Reliable Negative Sample Selection and Logistic Matrix Factorization With Neighborhood Regularization
Lihong Peng, Ling Shen, Longjie Liao, et al.
Journal of Cellular and Molecular Medicine
|
May 15, 2024
SEnSCA: Identifying possible ligand-receptor interactions and its application in cell-cell communication inference
Liqian Zhou, Xiwen Wang, Lihong Peng, et al.
Environmental Science and Pollution Research International
|
January 5, 2019
Modeling and performance improvement of an anaerobic-anoxic/nitrifying-induced crystallization process via the multi-objective optimization method
Hongliang Dai, Wenliang Chen, Lihong Peng, et al.
Page
of 14
Search research articles
Search
Showing results (41-50 of 131) with videos related to
Sort By:
Page
of 14
Scientific Reports
|
September 24, 2021
A novel lncRNA-protein interaction prediction method based on deep forest with cascade forest structure
Xiongfei Tian, Ling Shen, Zhenwu Wang, et al.
Frontiers in Aging Neuroscience
|
July 3, 2023
Identifying potential drug-target interactions based on ensemble deep learning
Liqian Zhou, Yuzhuang Wang, Lihong Peng, et al.
Environmental Science and Pollution Research International
|
March 4, 2022
Key mitigation regions and strategies for CO<sub>2</sub> emission reduction in China based on STIRPAT and ARIMA models
Jingjing Chen, Yiping Chen, Bingjing Mao, 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 classification
Lihong 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 Architecture
Lihong Peng, Chang Wang, Xiongfei Tian, et al.
Frontiers in Genetics
|
October 25, 2021
Screening Potential Drugs for COVID-19 Based on Bound Nuclear Norm Regularization
Juanjuan Wang, Chang Wang, Ling Shen, et al.
Environmental Technology
|
January 3, 2017
Enrichment culture of denitrifying phosphorus removal sludge and its microbial community analysis
Hongliang Dai, Xiwu Lu, Lihong Peng, et al.
Frontiers in Microbiology
|
November 16, 2020
RNMFMDA: A Microbe-Disease Association Identification Method Based on Reliable Negative Sample Selection and Logistic Matrix Factorization With Neighborhood Regularization
Lihong Peng, Ling Shen, Longjie Liao, et al.
Journal of Cellular and Molecular Medicine
|
May 15, 2024
SEnSCA: Identifying possible ligand-receptor interactions and its application in cell-cell communication inference
Liqian Zhou, Xiwen Wang, Lihong Peng, et al.
Environmental Science and Pollution Research International
|
January 5, 2019
Modeling and performance improvement of an anaerobic-anoxic/nitrifying-induced crystallization process via the multi-objective optimization method
Hongliang Dai, Wenliang Chen, Lihong Peng, et al.
Page
of 14