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Yanglan Gan

Showing results (11-20 of 25) with videos related to

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BMC Bioinformatics|October 27, 2017
A new method for enhancer prediction based on deep belief networkHongda Bu, Yanglan Gan, Yang Wang, et al.
IEEE Journal of Biomedical and Health Informatics|December 1, 2025
HCMAF: Hierarchical Feature Aggregation and Cross-Modal Attention Fusion Framework for Multi-Omics patient classificationYanglan Gan, Hangkai Zhao, Kaili Wang, et al.
Briefings in Bioinformatics|February 16, 2022
Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural networkYanglan Gan, Xingyu Huang, Guobing Zou, et al.
BMC Bioinformatics|February 4, 2017
Dynamic epigenetic mode analysis using spatial temporal clusteringYangLan Gan, Han Tao, Guobing Zou, et al.
Journal of Chemical Information and Modeling|March 12, 2025
Multidependency Graph Convolutional Networks and Contrastive Learning for Drug RepositioningYanglan Gan, Shengnan Li, Guangwei Xu, et al.
Briefings in Bioinformatics|November 6, 2023
DMFDDI: deep multimodal fusion for drug-drug interaction predictionYanglan Gan, Wenxiao Liu, Guangwei Xu, et al.
Bioinformatics (Oxford, England)|October 9, 2023
Predicting synergistic anticancer drug combination based on low-rank global attention mechanism and bilinear predictorYanglan Gan, Xingyu Huang, Wenjing Guo, et al.
BMC Medical Genomics|January 2, 2019
Identification of cancer subtypes from single-cell RNA-seq data using a consensus clustering methodYanglan Gan, Ning Li, Guobing Zou, et al.
Briefings in Bioinformatics|June 13, 2022
Entropy-based inference of transition states and cellular trajectory for single-cell transcriptomicsYanglan Gan, Cheng Guo, Wenjing Guo, et al.
Bioinformatics (Oxford, England)|May 29, 2024
Inferring gene regulatory networks from single-cell transcriptomics based on graph embeddingYanglan Gan, Jiacheng Yu, Guangwei Xu, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
BMC Bioinformatics|October 27, 2017
A new method for enhancer prediction based on deep belief networkHongda Bu, Yanglan Gan, Yang Wang, et al.
IEEE Journal of Biomedical and Health Informatics|December 1, 2025
HCMAF: Hierarchical Feature Aggregation and Cross-Modal Attention Fusion Framework for Multi-Omics patient classificationYanglan Gan, Hangkai Zhao, Kaili Wang, et al.
Briefings in Bioinformatics|February 16, 2022
Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural networkYanglan Gan, Xingyu Huang, Guobing Zou, et al.
BMC Bioinformatics|February 4, 2017
Dynamic epigenetic mode analysis using spatial temporal clusteringYangLan Gan, Han Tao, Guobing Zou, et al.
Journal of Chemical Information and Modeling|March 12, 2025
Multidependency Graph Convolutional Networks and Contrastive Learning for Drug RepositioningYanglan Gan, Shengnan Li, Guangwei Xu, et al.
Briefings in Bioinformatics|November 6, 2023
DMFDDI: deep multimodal fusion for drug-drug interaction predictionYanglan Gan, Wenxiao Liu, Guangwei Xu, et al.
Bioinformatics (Oxford, England)|October 9, 2023
Predicting synergistic anticancer drug combination based on low-rank global attention mechanism and bilinear predictorYanglan Gan, Xingyu Huang, Wenjing Guo, et al.
BMC Medical Genomics|January 2, 2019
Identification of cancer subtypes from single-cell RNA-seq data using a consensus clustering methodYanglan Gan, Ning Li, Guobing Zou, et al.
Briefings in Bioinformatics|June 13, 2022
Entropy-based inference of transition states and cellular trajectory for single-cell transcriptomicsYanglan Gan, Cheng Guo, Wenjing Guo, et al.
Bioinformatics (Oxford, England)|May 29, 2024
Inferring gene regulatory networks from single-cell transcriptomics based on graph embeddingYanglan Gan, Jiacheng Yu, Guangwei Xu, et al.
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