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Jian-Cheng Ni

Showing results (1-10 of 20) with videos related to

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Molecules (Basel, Switzerland)|September 21, 2017
A New Erythrinan Alkaloid Glycoside from the Seeds of Erythrina crista-galliQing-Wei Tan, Jian-Cheng Ni, Pei-Hua Fang, et al.
Natural Product Research|February 13, 2018
Two new compounds from the fruit of Ailanthus altissimaJian-Cheng Ni, Jian-Ting Shi, Qing-Wei Tan, et al.
Briefings in Bioinformatics|January 8, 2021
GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forestQing-Wen Wu, Jun-Feng Xia, Jian-Cheng Ni, et al.
Molecules (Basel, Switzerland)|December 7, 2017
Phenylpropionamides, Piperidine, and Phenolic Derivatives from the Fruit of Ailanthus altissimaJian-Cheng Ni, Jian-Ting Shi, Qing-Wei Tan, et al.
Frontiers in Genetics|October 18, 2021
ILPMDA: Predicting miRNA-Disease Association Based on Improved Label PropagationYu-Tian Wang, Lei Li, Cun-Mei Ji, et al.
Molecules (Basel, Switzerland)|December 1, 2017
Metabolites Produced by an Endophytic Phomopsis sp. and Their Anti-TMV ActivityQing-Wei Tan, Pei-Hua Fang, Jian-Cheng Ni, et al.
BMC Bioinformatics|February 20, 2020
Graph regularized L<sub>2,1</sub>-nonnegative matrix factorization for miRNA-disease association predictionZhen Gao, Yu-Tian Wang, Qing-Wen Wu, et al.
BMC Medical Informatics and Decision Making|April 22, 2021
MiRNA-disease association prediction via hypergraph learning based on high-dimensionality featuresYu-Tian Wang, Qing-Wen Wu, Zhen Gao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 10, 2021
Predicting miRNA-Disease Association Based on Improved Graph RegressionLei Li, Zhen Gao, Chun-Hou Zheng, et al.
Frontiers in Cell and Developmental Biology|February 26, 2021
SNFIMCMDA: Similarity Network Fusion and Inductive Matrix Completion for miRNA-Disease Association PredictionLei Li, Zhen Gao, Chun-Hou Zheng, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Molecules (Basel, Switzerland)|September 21, 2017
A New Erythrinan Alkaloid Glycoside from the Seeds of Erythrina crista-galliQing-Wei Tan, Jian-Cheng Ni, Pei-Hua Fang, et al.
Natural Product Research|February 13, 2018
Two new compounds from the fruit of Ailanthus altissimaJian-Cheng Ni, Jian-Ting Shi, Qing-Wei Tan, et al.
Briefings in Bioinformatics|January 8, 2021
GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forestQing-Wen Wu, Jun-Feng Xia, Jian-Cheng Ni, et al.
Molecules (Basel, Switzerland)|December 7, 2017
Phenylpropionamides, Piperidine, and Phenolic Derivatives from the Fruit of Ailanthus altissimaJian-Cheng Ni, Jian-Ting Shi, Qing-Wei Tan, et al.
Frontiers in Genetics|October 18, 2021
ILPMDA: Predicting miRNA-Disease Association Based on Improved Label PropagationYu-Tian Wang, Lei Li, Cun-Mei Ji, et al.
Molecules (Basel, Switzerland)|December 1, 2017
Metabolites Produced by an Endophytic Phomopsis sp. and Their Anti-TMV ActivityQing-Wei Tan, Pei-Hua Fang, Jian-Cheng Ni, et al.
BMC Bioinformatics|February 20, 2020
Graph regularized L<sub>2,1</sub>-nonnegative matrix factorization for miRNA-disease association predictionZhen Gao, Yu-Tian Wang, Qing-Wen Wu, et al.
BMC Medical Informatics and Decision Making|April 22, 2021
MiRNA-disease association prediction via hypergraph learning based on high-dimensionality featuresYu-Tian Wang, Qing-Wen Wu, Zhen Gao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 10, 2021
Predicting miRNA-Disease Association Based on Improved Graph RegressionLei Li, Zhen Gao, Chun-Hou Zheng, et al.
Frontiers in Cell and Developmental Biology|February 26, 2021
SNFIMCMDA: Similarity Network Fusion and Inductive Matrix Completion for miRNA-Disease Association PredictionLei Li, Zhen Gao, Chun-Hou Zheng, et al.
Pageof 2