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WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network

BMC bioinformatics, 2019-11, Vol.20 (1), p.541-541, Article 541

2019

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Deep learning based DNA:RNA triplex forming potential prediction

BMC bioinformatics, 2020-11, Vol.21 (1), p.1-522, Article 522

2020

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Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST

Nature communications, 2023-03, Vol.14 (1), p.1155-19, Article 1155

2023

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Class similarity network for coding and long non-coding RNA classification

BMC bioinformatics, 2021-12, Vol.22 (1), p.609-609, Article 609

2021

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ezSingleCell: an integrated one-stop single-cell and spatial omics analysis platform for bench scientists

Nature communications, 2024-07, Vol.15 (1), p.5600-16, Article 5600

2024

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NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological Similarity

IEEE/ACM transactions on computational biology and bioinformatics, 2020-07, Vol.17 (4), p.1341-1351

2020

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DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation

IEEE access, 2020, Vol.8, p.76610-76617

2020

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Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation

IEEE journal of biomedical and health informatics, 2021-01, Vol.25 (1), p.266-275

2021

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Predicting human microbe–disease associations via graph attention networks with inductive matrix completion

Briefings in bioinformatics, 2021-05, Vol.22 (3)

2021

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Predicting human microbe–drug associations via graph convolutional network with conditional random field

Bioinformatics, 2020-12, Vol.36 (19), p.4918-4927

2020

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Ensembling graph attention networks for human microbe–drug association prediction

Bioinformatics, 2020-12, Vol.36 (Supplement_2), p.i779-i786

2020

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Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks

Briefings in bioinformatics, 2023-09, Vol.24 (5)

2023

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Graph contextualized attention network for predicting synthetic lethality in human cancers

Bioinformatics (Oxford, England), 2021-08, Vol.37 (16), p.2432-2440

2021

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Pre-training graph neural networks for link prediction in biomedical networks

Bioinformatics, 2022-04, Vol.38 (8), p.2254-2262

2022

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Heterogeneous graph attention networks for drug virus association prediction

Methods (San Diego, Calif.), 2022-02, Vol.198, p.11-18

2022

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Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism

Briefings in bioinformatics, 2023-09, Vol.24 (5)

2023

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CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning

Bioinformatics (Oxford, England), 2023-08, Vol.39 (8)

2023

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An effective image fusion algorithm based on grey relation of similarity and morphology

Journal of ambient intelligence and humanized computing, 2023-11, Vol.14 (11), p.14859-14872

2023

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Deciphering spatial domains from spatial multi-omics with SpatialGlue

Nature methods, 2024-09, Vol.21 (9), p.1658-1667

2024

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Energy-efficient multi-focus image fusion based on neighbor distance and morphology

Optik (Stuttgart), 2016-12, Vol.127 (23), p.11354-11363

2016

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Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks

2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020, p.455-459

2020

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A 4D single-cell protein atlas of transcription factors delineates spatiotemporal patterning during embryogenesis

Nature methods, 2021-08, Vol.18 (8), p.893-902

2021

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A Classification Method for Electronic Components Based on Siamese Network

Sensors (Basel, Switzerland), 2022-08, Vol.22 (17), p.6478

2022

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MIR17HG polymorphisms contribute to high-altitude pulmonary edema susceptibility in the Chinese population

Scientific reports, 2022-03, Vol.12 (1), p.4346-4346, Article 4346

2022

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Chiral Cellulose Nanocrystal Humidity-Responsive Iridescent Films with Glucan for Tuned Iridescence and Reinforced Mechanics

Biomacromolecules, 2021-11, Vol.22 (11), p.4479-4488

2021

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WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network

Deep learning based DNA:RNA triplex forming potential prediction

Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST

Class similarity network for coding and long non-coding RNA classification

ezSingleCell: an integrated one-stop single-cell and spatial omics analysis platform for bench scientists

NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological Similarity

DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation

Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation

Predicting human microbe–disease associations via graph attention networks with inductive matrix completion

Predicting human microbe–drug associations via graph convolutional network with conditional random field

Ensembling graph attention networks for human microbe–drug association prediction

Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks

Graph contextualized attention network for predicting synthetic lethality in human cancers

Pre-training graph neural networks for link prediction in biomedical networks

Heterogeneous graph attention networks for drug virus association prediction

Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism

CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning

An effective image fusion algorithm based on grey relation of similarity and morphology

Deciphering spatial domains from spatial multi-omics with SpatialGlue

Energy-efficient multi-focus image fusion based on neighbor distance and morphology

Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks

A 4D single-cell protein atlas of transcription factors delineates spatiotemporal patterning during embryogenesis

A Classification Method for Electronic Components Based on Siamese Network

MIR17HG polymorphisms contribute to high-altitude pulmonary edema susceptibility in the Chinese population

Chiral Cellulose Nanocrystal Humidity-Responsive Iridescent Films with Glucan for Tuned Iridescence and Reinforced Mechanics

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