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Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network

IEEE transaction on neural networks and learning systems, 2021-07, Vol.32 (7), p.2847-2861

2021

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PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction

PLoS computational biology, 2017-03, Vol.13 (3), p.e1005455-e1005455

2017

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Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans

IEEE transactions on biomedical engineering, 2023-04, Vol.70 (4), p.1137-1149

2023

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Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI

IEEE transaction on neural networks and learning systems, 2024-06, Vol.35 (6), p.8161-8175

2024

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Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans

IEEE transactions on pattern analysis and machine intelligence, 2023-11, Vol.PP (11), p.1-18

2023

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Evolutionary Multitasking for Costly Task Offloading in Mobile-Edge Computing Networks

IEEE transactions on evolutionary computation, 2024-04, Vol.28 (2), p.338-352

2024

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Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI

IEEE transaction on neural networks and learning systems, 2024-06, Vol.35 (6), p.7627-7641

2024

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Computational models for lncRNA function prediction and functional similarity calculation

Briefings in functional genomics, 2019-02, Vol.18 (1), p.58-82

2019

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Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning

IEEE transaction on neural networks and learning systems, 2021-09, Vol.32 (9), p.3971-3984

2021

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LRLSHMDA: Laplacian Regularized Least Squares for Human Microbe-Disease Association prediction

Scientific reports, 2017-08, Vol.7 (1), p.7601-11, Article 7601

2017

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Prediction of microbe-disease association from the integration of neighbor and graph with collaborative recommendation model

Journal of translational medicine, 2017-10, Vol.15 (1), p.209-11, Article 209

2017

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LW-FQZip 2: a parallelized reference-based compression of FASTQ files

BMC bioinformatics, 2017-03, Vol.18 (1), p.179-179, Article 179

2017

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Prediction of biomarker–disease associations based on graph attention network and text representation

Briefings in bioinformatics, 2022-09, Vol.23 (5)

2022

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Novel link prediction for large-scale miRNA-lncRNA interaction network in a bipartite graph

BMC medical genomics, 2018-12, Vol.11 (Suppl 6), p.113-113, Article 113

2018

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Predicting lncRNA-miRNA Interaction via Graph Convolution Auto-Encoder

Frontiers in genetics, 2019-08, Vol.10, p.758-758

2019

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GBDR: a Bayesian model for precise prediction of pathogenic microorganisms using 16S rRNA gene sequences

BMC genomics, 2022-03, Vol.22 (Suppl 1), p.916-916, Article 916

2022

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FMSM: a novel computational model for predicting potential miRNA biomarkers for various human diseases

BMC systems biology, 2018-12, Vol.12 (Suppl 9), p.121-121, Article 121

2018

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MIX-TPI: a flexible prediction framework for TCR-pMHC interactions based on multimodal representations

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

2023

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Intelligent Computing Methodologies: 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part III

1, 2019

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Predicting microRNA–disease associations from lncRNA–microRNA interactions via Multiview Multitask Learning

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

2021

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scPriorGraph: constructing biosemantic cell–cell graphs with prior gene set selection for cell type identification from scRNA-seq data

Genome Biology, 2024-08, Vol.25 (1), p.1-29, Article 207

2024

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PBHMDA: Path-Based Human Microbe-Disease Association Prediction

Frontiers in microbiology, 2017-02, Vol.8, p.233-233

2017

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Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire

Briefings in bioinformatics, 2023-01, Vol.24 (1)

2023

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Influence of initial oxidation and secondary oxidation on spontaneous combustion of lignite

International journal of microstructure and materials properties, 2019, Vol.14 (1), p.60

2019

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Study on Adiabatic Oxidation Characters of Coal with Applying a Constant Temperature Difference To Guide the Oxidation of Coal with Temperature Rising

Energy & fuels, 2017-01, Vol.31 (1), p.882-890

2017

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Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network

PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction

Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans

Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI

Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans

Evolutionary Multitasking for Costly Task Offloading in Mobile-Edge Computing Networks

Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI

Computational models for lncRNA function prediction and functional similarity calculation

Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning

LRLSHMDA: Laplacian Regularized Least Squares for Human Microbe-Disease Association prediction

Prediction of microbe-disease association from the integration of neighbor and graph with collaborative recommendation model

LW-FQZip 2: a parallelized reference-based compression of FASTQ files

Prediction of biomarker–disease associations based on graph attention network and text representation

Novel link prediction for large-scale miRNA-lncRNA interaction network in a bipartite graph

Predicting lncRNA-miRNA Interaction via Graph Convolution Auto-Encoder

GBDR: a Bayesian model for precise prediction of pathogenic microorganisms using 16S rRNA gene sequences

FMSM: a novel computational model for predicting potential miRNA biomarkers for various human diseases

MIX-TPI: a flexible prediction framework for TCR-pMHC interactions based on multimodal representations

Intelligent Computing Methodologies: 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part III

Predicting microRNA–disease associations from lncRNA–microRNA interactions via Multiview Multitask Learning

scPriorGraph: constructing biosemantic cell–cell graphs with prior gene set selection for cell type identification from scRNA-seq data

PBHMDA: Path-Based Human Microbe-Disease Association Prediction

Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire

Influence of initial oxidation and secondary oxidation on spontaneous combustion of lignite

Study on Adiabatic Oxidation Characters of Coal with Applying a Constant Temperature Difference To Guide the Oxidation of Coal with Temperature Rising

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