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Zhu Hong

Showing results (151-160 of 371) with videos related to

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Bioinformatics (Oxford, England)|December 4, 2019
An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural networkLei Wang, Zhu-Hong You, Yu-An Huang, et al.
Elife|August 17, 2022
Temporal and thermal profiling of the <i>Toxoplasma</i> proteome implicates parasite Protein Phosphatase 1 in the regulation of Ca<sup>2+</sup>-responsive pathwaysAlice L Herneisen, Zhu-Hong Li, Alex W Chan, et al.
Molecules (Basel, Switzerland)|August 19, 2017
Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSMYan-Bin Wang, Zhu-Hong You, Li-Ping Li, et al.
Veterinary Immunology and Immunopathology|April 17, 2010
Plasmid containing CpG oligodeoxynucleotides can augment the immune responses of pigs immunized with porcine reproductive and respiratory syndrome killed virus vaccineZhang Quan, Zhai Guo Qin, Wang Zhen, et al.
Evolutionary Bioinformatics Online|July 14, 2020
Using Random Forest Model Combined With Gabor Feature to Predict Protein-Protein Interaction From Protein SequenceXin-Ke Zhan, Zhu-Hong You, Li-Ping Li, et al.
IEEE Journal of Biomedical and Health Informatics|April 4, 2025
Graph-Based Prediction of miRNA-Drug Associations with Multisource Information and Metapath Enhancement MatricesMing-Yang Wu, Peng-Wei Hu, Zhu-Hong You, et al.
Molecular Therapy. Nucleic Acids|January 14, 2020
DBMDA: A Unified Embedding for Sequence-Based miRNA Similarity Measure with Applications to Predict and Validate miRNA-Disease AssociationsKai Zheng, Zhu-Hong You, Lei Wang, et al.
Biology|May 28, 2022
SMMDA: Predicting miRNA-Disease Associations by Incorporating Multiple Similarity Profiles and a Novel Disease RepresentationBo-Ya Ji, Liang-Rui Pan, Ji-Ren Zhou, et al.
Iscience|September 9, 2019
A Learning-Based Method for LncRNA-Disease Association Identification Combing Similarity Information and Rotation ForestZhen-Hao Guo, Zhu-Hong You, Yan-Bin Wang, et al.
Journal of Translational Medicine|August 10, 2019
MLMDA: a machine learning approach to predict and validate MicroRNA-disease associations by integrating of heterogenous information sourcesKai Zheng, Zhu-Hong You, Lei Wang, et al.
Pageof 38

Showing results (151-160 of 371) with videos related to

Sort By:
Pageof 38
Bioinformatics (Oxford, England)|December 4, 2019
An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural networkLei Wang, Zhu-Hong You, Yu-An Huang, et al.
Elife|August 17, 2022
Temporal and thermal profiling of the <i>Toxoplasma</i> proteome implicates parasite Protein Phosphatase 1 in the regulation of Ca<sup>2+</sup>-responsive pathwaysAlice L Herneisen, Zhu-Hong Li, Alex W Chan, et al.
Molecules (Basel, Switzerland)|August 19, 2017
Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSMYan-Bin Wang, Zhu-Hong You, Li-Ping Li, et al.
Veterinary Immunology and Immunopathology|April 17, 2010
Plasmid containing CpG oligodeoxynucleotides can augment the immune responses of pigs immunized with porcine reproductive and respiratory syndrome killed virus vaccineZhang Quan, Zhai Guo Qin, Wang Zhen, et al.
Evolutionary Bioinformatics Online|July 14, 2020
Using Random Forest Model Combined With Gabor Feature to Predict Protein-Protein Interaction From Protein SequenceXin-Ke Zhan, Zhu-Hong You, Li-Ping Li, et al.
IEEE Journal of Biomedical and Health Informatics|April 4, 2025
Graph-Based Prediction of miRNA-Drug Associations with Multisource Information and Metapath Enhancement MatricesMing-Yang Wu, Peng-Wei Hu, Zhu-Hong You, et al.
Molecular Therapy. Nucleic Acids|January 14, 2020
DBMDA: A Unified Embedding for Sequence-Based miRNA Similarity Measure with Applications to Predict and Validate miRNA-Disease AssociationsKai Zheng, Zhu-Hong You, Lei Wang, et al.
Biology|May 28, 2022
SMMDA: Predicting miRNA-Disease Associations by Incorporating Multiple Similarity Profiles and a Novel Disease RepresentationBo-Ya Ji, Liang-Rui Pan, Ji-Ren Zhou, et al.
Iscience|September 9, 2019
A Learning-Based Method for LncRNA-Disease Association Identification Combing Similarity Information and Rotation ForestZhen-Hao Guo, Zhu-Hong You, Yan-Bin Wang, et al.
Journal of Translational Medicine|August 10, 2019
MLMDA: a machine learning approach to predict and validate MicroRNA-disease associations by integrating of heterogenous information sourcesKai Zheng, Zhu-Hong You, Lei Wang, et al.
Pageof 38