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A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network

BMC bioinformatics, 2020-09, Vol.21 (Suppl 13), p.1-13, Article 394

2020

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Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data

BMC bioinformatics, 2019-06, Vol.20 (Suppl 8), p.284-284, Article 284

2019

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Predicting Parkinson's Disease Genes Based on Node2vec and Autoencoder

Frontiers in genetics, 2019-04, Vol.10, p.226-226

2019

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SemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional association

PloS one, 2014-06, Vol.9 (6), p.e99415

2014

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InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk

BMC genomics, 2018-01, Vol.19 (Suppl 1), p.919-919, Article 919

2018

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Measuring phenotype-phenotype similarity through the interactome

BMC bioinformatics, 2018-04, Vol.19 (Suppl 5), p.114-114, Article 114

2018

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A pipeline for RNA-seq based eQTL analysis with automated quality control procedures

BMC bioinformatics, 2021-08, Vol.22 (Suppl 9), p.403-18, Article 403

2021

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Identifying term relations cross different gene ontology categories

BMC bioinformatics, 2017-12, Vol.18 (Suppl 16), p.573-573, Article 573

2017

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A Survey of Network Representation Learning Methods for Link Prediction in Biological Network

Current pharmaceutical design, 2020-01, Vol.26 (26), p.3076-3084

2020

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Classification and Prognosis Prediction from Histopathological Images of Hepatocellular Carcinoma by a Fully Automated Pipeline Based on Machine Learning

Annals of surgical oncology, 2020-07, Vol.27 (7), p.2359-2369

2020

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LncDisAP: a computation model for LncRNA-disease association prediction based on multiple biological datasets

BMC bioinformatics, 2019-12, Vol.20 (Suppl 16), p.582-11, Article 582

2019

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Combining sequence and network information to enhance protein-protein interaction prediction

BMC bioinformatics, 2020-12, Vol.21 (Suppl 16), p.537-537, Article 537

2020

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Prioritizing candidate diseases-related metabolites based on literature and functional similarity

BMC bioinformatics, 2019-11, Vol.20 (Suppl 18), p.574-574, Article 574

2019

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DeepLearnMOR: a deep-learning framework for fluorescence image-based classification of organelle morphology

Plant physiology (Bethesda), 2021-08, Vol.186 (4), p.1786-1799

2021

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TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology

BMC bioinformatics, 2019-11, Vol.20 (Suppl 18), p.572-572, Article 572

2019

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Predicting biomedical relationships using the knowledge and graph embedding cascade model

PloS one, 2019-06, Vol.14 (6), p.e0218264-e0218264

2019

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Explore potential disease related metabolites based on latent factor model

BMC genomics, 2022-04, Vol.23 (Suppl 1), p.269-269, Article 269

2022

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R-CRISPR: A Deep Learning Network to Predict Off-Target Activities with Mismatch, Insertion and Deletion in CRISPR-Cas9 System

Genes, 2021-11, Vol.12 (12), p.1878

2021

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Editorial: Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics

Frontiers in genetics, 2022-04, Vol.13, p.895796-895796

2022

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Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention network

PloS one, 2019-10, Vol.14 (10), p.e0211844-e0211844

2019

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Editorial: Data mining methods for analyzing cognitive and affective disorders based on multimodal omics, volume II

Frontiers in psychiatry, 2023, Vol.14, p.1273351-1273351

2023

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Editorial: Data mining and statistical methods for knowledge discovery in diseases based on multimodal omics, volume II

Frontiers in genetics, 2023-08, Vol.14, p.1270862-1270862

2023

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Construction of PANoptosis signature: Novel target discovery for prostate cancer immunotherapy

Molecular therapy. Nucleic acids, 2023-09, Vol.33, p.376-390

2023

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eQTLMAPT: Fast and Accurate eQTL Mediation Analysis With Efficient Permutation Testing Approaches

Frontiers in genetics, 2020-01, Vol.10, p.1309

2020

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Machine Learning in Bioelectrocatalysis

Advanced science, 2024-01, Vol.11 (2), p.e2306583-n/a

2024

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A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network

Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data

Predicting Parkinson's Disease Genes Based on Node2vec and Autoencoder

SemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional association

InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk

Measuring phenotype-phenotype similarity through the interactome

A pipeline for RNA-seq based eQTL analysis with automated quality control procedures

Identifying term relations cross different gene ontology categories

A Survey of Network Representation Learning Methods for Link Prediction in Biological Network

Classification and Prognosis Prediction from Histopathological Images of Hepatocellular Carcinoma by a Fully Automated Pipeline Based on Machine Learning

LncDisAP: a computation model for LncRNA-disease association prediction based on multiple biological datasets

Combining sequence and network information to enhance protein-protein interaction prediction

Prioritizing candidate diseases-related metabolites based on literature and functional similarity

DeepLearnMOR: a deep-learning framework for fluorescence image-based classification of organelle morphology

TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology

Predicting biomedical relationships using the knowledge and graph embedding cascade model

Explore potential disease related metabolites based on latent factor model

R-CRISPR: A Deep Learning Network to Predict Off-Target Activities with Mismatch, Insertion and Deletion in CRISPR-Cas9 System

Editorial: Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics

Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention network

Editorial: Data mining methods for analyzing cognitive and affective disorders based on multimodal omics, volume II

Editorial: Data mining and statistical methods for knowledge discovery in diseases based on multimodal omics, volume II

Construction of PANoptosis signature: Novel target discovery for prostate cancer immunotherapy

eQTLMAPT: Fast and Accurate eQTL Mediation Analysis With Efficient Permutation Testing Approaches

Machine Learning in Bioelectrocatalysis

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