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Yaohang Li

Showing results (61-70 of 73) with videos related to

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IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 9, 2017
Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction NetworkMin Li, Xiangmao Meng, Ruiqing Zheng, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 1, 2019
DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell LinesMin Li, Yake Wang, Ruiqing Zheng, et al.
Methods (San Diego, Calif.)|May 11, 2020
SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learningMin Zeng, Chengqian Lu, Fuhao Zhang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 9, 2019
A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological InformationMin Zeng, Min Li, Zhihui Fei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 6, 2020
DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease AssociationsMin Zeng, Chengqian Lu, Zhihui Fei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 28, 2020
A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based InformationFuhao Zhang, Hong Song, Min Zeng, et al.
Nature Communications|August 30, 2024
scCAD: Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression dataYunpei Xu, Shaokai Wang, Qilong Feng, et al.
Journal of the American Chemical Society|November 10, 2017
Conformational Clusters of Phosphorylated TyrosineMaha Abdelrasoul, Komala Ponniah, Alice Mao, et al.
Bioinformatics (Oxford, England)|June 30, 2023
CellBRF: a feature selection method for single-cell clustering using cell balance and random forestYunpei Xu, Hong-Dong Li, Cui-Xiang Lin, et al.
Bioinformatics (Oxford, England)|May 3, 2018
Prediction of lncRNA-disease associations based on inductive matrix completionChengqian Lu, Mengyun Yang, Feng Luo, et al.
Pageof 8

Showing results (61-70 of 73) with videos related to

Sort By:
Pageof 8
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 9, 2017
Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction NetworkMin Li, Xiangmao Meng, Ruiqing Zheng, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 1, 2019
DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell LinesMin Li, Yake Wang, Ruiqing Zheng, et al.
Methods (San Diego, Calif.)|May 11, 2020
SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learningMin Zeng, Chengqian Lu, Fuhao Zhang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 9, 2019
A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological InformationMin Zeng, Min Li, Zhihui Fei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 6, 2020
DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease AssociationsMin Zeng, Chengqian Lu, Zhihui Fei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 28, 2020
A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based InformationFuhao Zhang, Hong Song, Min Zeng, et al.
Nature Communications|August 30, 2024
scCAD: Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression dataYunpei Xu, Shaokai Wang, Qilong Feng, et al.
Journal of the American Chemical Society|November 10, 2017
Conformational Clusters of Phosphorylated TyrosineMaha Abdelrasoul, Komala Ponniah, Alice Mao, et al.
Bioinformatics (Oxford, England)|June 30, 2023
CellBRF: a feature selection method for single-cell clustering using cell balance and random forestYunpei Xu, Hong-Dong Li, Cui-Xiang Lin, et al.
Bioinformatics (Oxford, England)|May 3, 2018
Prediction of lncRNA-disease associations based on inductive matrix completionChengqian Lu, Mengyun Yang, Feng Luo, et al.
Pageof 8