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DeepGenePrior: A deep learning model for prioritizing genes affected by copy number variants

PLoS computational biology, 2023-07, Vol.19 (7), p.e1011249-e1011249

2023

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CNVDeep: deep association of copy number variants with neurocognitive disorders

BMC bioinformatics, 2024-08, Vol.25 (1), p.1-25, Article 283

2024

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Spatial-Aware Dictionary Learning for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2015-01, Vol.53 (1), p.527-541

2015

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DeepDRA: Drug repurposing using multi-omics data integration with autoencoders

PloS one, 2024-07, Vol.19 (7), p.e0307649

2024

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MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments

PLoS computational biology, 2022-06, Vol.18 (6), p.e1010241-e1010241

2022

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Deep Graph Generators: A Survey

IEEE access, 2021, Vol.9, p.106675-106702

2021

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SCGG: A deep structure-conditioned graph generative model

PloS one, 2022-11, Vol.17 (11), p.e0277887-e0277887

2022

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CircWalk: a novel approach to predict CircRNA-disease association based on heterogeneous network representation learning

BMC bioinformatics, 2022-08, Vol.23 (1), p.1-331, Article 331

2022

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Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer

BMC bioinformatics, 2022-04, Vol.23 (1), p.138-138, Article 138

2022

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Recurrent spatio-temporal modeling of check-ins in location-based social networks

PloS one, 2018-05, Vol.13 (5), p.e0197683-e0197683

2018

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Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types

BMC bioinformatics, 2022-07, Vol.23 (1), p.1-298, Article 298

2022

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The application of artificial intelligence in health policy: a scoping review

BMC health services research, 2023-12, Vol.23 (1), p.1416-1416, Article 1416

2023

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PFP-WGAN: Protein function prediction by discovering Gene Ontology term correlations with generative adversarial networks

PloS one, 2021-02, Vol.16 (2), p.e0244430-e0244430

2021

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Correction: MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments

PLoS computational biology, 2022-09, Vol.18 (9), p.e1010515-e1010515

2022

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Multiresolution Knowledge Distillation for Anomaly Detection

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.14897-14907

2021

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The application of artificial intelligence in health financing: a scoping review

Cost effectiveness and resource allocation, 2023-11, Vol.21 (1), p.1-83, Article 83

2023

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Whole-Genome Analysis of De Novo Somatic Point Mutations Reveals Novel Mutational Biomarkers in Pancreatic Cancer

Cancers, 2021-08, Vol.13 (17), p.4376

2021

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Research agenda for using artificial intelligence in health governance: interpretive scoping review and framework

BioData mining, 2023-10, Vol.16 (1), p.1-31, Article 31

2023

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RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data

Medical image analysis, 2022-01, Vol.75, p.102272-102272, Article 102272

2022

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Predicting survival of Iranian COVID-19 patients infected by various variants including omicron from CT Scan images and clinical data using deep neural networks

Heliyon, 2023-11, Vol.9 (11), p.e21965-e21965, Article e21965

2023

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Deep feature extraction of single-cell transcriptomes by generative adversarial network

Bioinformatics, 2021-06, Vol.37 (10), p.1345-1351

2021

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Deep Private-Feature Extraction

IEEE transactions on knowledge and data engineering, 2020-01, Vol.32 (1), p.54-66

2020

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Somatic point mutations are enriched in non-coding RNAs with possible regulatory function in breast cancer

Communications biology, 2022-06, Vol.5 (1), p.556-556, Article 556

2022

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ARAE: Adversarially robust training of autoencoders improves novelty detection

Neural networks, 2021-12, Vol.144, p.726-736

2021

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HGTDR: Advancing drug repurposing with heterogeneous graph transformers

Bioinformatics (Oxford, England), 2024-07, Vol.40 (7)

2024

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DeepGenePrior: A deep learning model for prioritizing genes affected by copy number variants

CNVDeep: deep association of copy number variants with neurocognitive disorders

Spatial-Aware Dictionary Learning for Hyperspectral Image Classification

DeepDRA: Drug repurposing using multi-omics data integration with autoencoders

MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments

Deep Graph Generators: A Survey

SCGG: A deep structure-conditioned graph generative model

CircWalk: a novel approach to predict CircRNA-disease association based on heterogeneous network representation learning

Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer

Recurrent spatio-temporal modeling of check-ins in location-based social networks

Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types

The application of artificial intelligence in health policy: a scoping review

PFP-WGAN: Protein function prediction by discovering Gene Ontology term correlations with generative adversarial networks

Correction: MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments

Multiresolution Knowledge Distillation for Anomaly Detection

The application of artificial intelligence in health financing: a scoping review

Whole-Genome Analysis of De Novo Somatic Point Mutations Reveals Novel Mutational Biomarkers in Pancreatic Cancer

Research agenda for using artificial intelligence in health governance: interpretive scoping review and framework

RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data

Predicting survival of Iranian COVID-19 patients infected by various variants including omicron from CT Scan images and clinical data using deep neural networks

Deep feature extraction of single-cell transcriptomes by generative adversarial network

Deep Private-Feature Extraction

Somatic point mutations are enriched in non-coding RNAs with possible regulatory function in breast cancer

ARAE: Adversarially robust training of autoencoders improves novelty detection

HGTDR: Advancing drug repurposing with heterogeneous graph transformers

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