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Chuanze Kang

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

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Bioinformatics (Oxford, England)|January 20, 2025
A comprehensive graph neural network method for predicting triplet motifs in disease-drug-gene interactionsChuanze Kang, Zonghuan Liu, Han Zhang
IEEE Journal of Biomedical and Health Informatics|July 11, 2024
A Dual-Modality Complex-Valued Fusion Method for Predicting Side Effects of Drug-Drug Interactions Based on Graph Neural NetworkChuanze Kang, Han Zhang, Yanbin Yin
Frontiers in Genetics|February 27, 2023
Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networksYuzhou Ma, Han Zhang, Chen Jin, et al.
Journal of Theoretical Biology|December 12, 2018
Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machineChuanze Kang, Yanhao Huo, Lihui Xin, et al.
Briefings in Bioinformatics|December 10, 2021
LR-GNN: a graph neural network based on link representation for predicting molecular associationsChuanze Kang, Han Zhang, Zhuo Liu, et al.
International Journal of Molecular Sciences|January 21, 2022
TLCrys: Transfer Learning Based Method for Protein Crystallization PredictionChen Jin, Zhuangwei Shi, Chuanze Kang, et al.
Computer Methods and Programs in Biomedicine|July 29, 2021
Automatic arteriosclerotic retinopathy grading using four-channel with image mergingShuo Gao, Li Gao, Xiongwen Quan, et al.
Journal of Theoretical Biology|December 2, 2019
SGL-SVM: A novel method for tumor classification via support vector machine with sparse group LassoYanhao Huo, Lihui Xin, Chuanze Kang, et al.
Computers in Biology and Medicine|May 26, 2024
AVBAE-MODFR: A novel deep learning framework of embedding and feature selection on multi-omics data for pan-cancer classificationMinghe Li, Huike Guo, Keao Wang, et al.
Interdisciplinary Sciences, Computational Life Sciences|September 18, 2021
OTNet: A CNN Method Based on Hierarchical Attention Maps for Grading Arteriosclerosis of Fundus Images with Small SamplesHang Bai, Li Gao, Xiongwen Quan, et al.
Pageof 1

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

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|January 20, 2025
A comprehensive graph neural network method for predicting triplet motifs in disease-drug-gene interactionsChuanze Kang, Zonghuan Liu, Han Zhang
IEEE Journal of Biomedical and Health Informatics|July 11, 2024
A Dual-Modality Complex-Valued Fusion Method for Predicting Side Effects of Drug-Drug Interactions Based on Graph Neural NetworkChuanze Kang, Han Zhang, Yanbin Yin
Frontiers in Genetics|February 27, 2023
Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networksYuzhou Ma, Han Zhang, Chen Jin, et al.
Journal of Theoretical Biology|December 12, 2018
Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machineChuanze Kang, Yanhao Huo, Lihui Xin, et al.
Briefings in Bioinformatics|December 10, 2021
LR-GNN: a graph neural network based on link representation for predicting molecular associationsChuanze Kang, Han Zhang, Zhuo Liu, et al.
International Journal of Molecular Sciences|January 21, 2022
TLCrys: Transfer Learning Based Method for Protein Crystallization PredictionChen Jin, Zhuangwei Shi, Chuanze Kang, et al.
Computer Methods and Programs in Biomedicine|July 29, 2021
Automatic arteriosclerotic retinopathy grading using four-channel with image mergingShuo Gao, Li Gao, Xiongwen Quan, et al.
Journal of Theoretical Biology|December 2, 2019
SGL-SVM: A novel method for tumor classification via support vector machine with sparse group LassoYanhao Huo, Lihui Xin, Chuanze Kang, et al.
Computers in Biology and Medicine|May 26, 2024
AVBAE-MODFR: A novel deep learning framework of embedding and feature selection on multi-omics data for pan-cancer classificationMinghe Li, Huike Guo, Keao Wang, et al.
Interdisciplinary Sciences, Computational Life Sciences|September 18, 2021
OTNet: A CNN Method Based on Hierarchical Attention Maps for Grading Arteriosclerosis of Fundus Images with Small SamplesHang Bai, Li Gao, Xiongwen Quan, et al.
Pageof 1