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Graph embeddings on gene ontology annotations for protein-protein interaction prediction

BMC bioinformatics, 2020-12, Vol.21 (Suppl 16), p.560-17, Article 560

2020

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GO2Vec: transforming GO terms and proteins to vector representations via graph embeddings

BMC genomics, 2019-12, Vol.20 (Suppl 9), p.918-918, Article 918

2019

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Hybrid UNet transformer architecture for ischemic stoke segmentation with MRI and CT datasets

Frontiers in neuroscience, 2023-11, Vol.17, p.1298514-1298514

2023

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Deep learning and multi-omics approach to predict drug responses in cancer

BMC bioinformatics, 2022-11, Vol.22 (Suppl 10), p.632-15, Article 632

2022

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Segmentation of Clustered Nuclei With Shape Markers and Marking Function

IEEE transactions on biomedical engineering, 2009-03, Vol.56 (3), p.741-748

2009

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Refining modules to determine functionally significant clusters in molecular networks

BMC genomics, 2019-12, Vol.20 (Suppl 9), p.901-901, Article 901

2019

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Functional homogeneity and specificity of topological modules in human proteome

BMC bioinformatics, 2019-02, Vol.19 (Suppl 13), p.553-553, Article 553

2019

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Elucidating salient site-specific functional connectivity features and site-invariant biomarkers in schizophrenia via deep neural networks

Scientific reports, 2023-11, Vol.13 (1), p.21047-21047, Article 21047

2023

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qFibrosis: A fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients

Journal of hepatology, 2014-08, Vol.61 (2), p.260-269

2014

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Combining Neuroimaging and Omics Datasets for Disease Classification Using Graph Neural Networks

Frontiers in neuroscience, 2022-05, Vol.16, p.866666-866666

2022

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A deep neural network approach to predicting clinical outcomes of neuroblastoma patients

BMC medical genomics, 2019-12, Vol.12 (Suppl 8), p.178-178, Article 178

2019

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Serum proteome and cytokine analysis in a longitudinal cohort of adults with primary dengue infection reveals predictive markers of DHF

PLoS neglected tropical diseases, 2012-11, Vol.6 (11), p.e1887-e1887

2012

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Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome

IEEE journal of translational engineering in health and medicine, 2024-01, Vol.12, p.371-381

2024

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MultiDCoX: Multi-factor analysis of differential co-expression

BMC bioinformatics, 2017-12, Vol.18 (Suppl 16), p.576-576, Article 576

2017

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Profiling heterogeneity of Alzheimer's disease using white-matter impairment factors

NeuroImage clinical, 2018-01, Vol.20, p.1222-1232

2018

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HUT: Hybrid UNet transformer for brain lesion and tumour segmentation

Heliyon, 2023-12, Vol.9 (12), p.e22412-e22412, Article e22412

2023

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Ambivert degree identifies crucial brain functional hubs and improves detection of Alzheimer’s Disease and Autism Spectrum Disorder

NeuroImage clinical, 2020-01, Vol.25, p.102186-102186, Article 102186

2020

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Learning functional structure from fMR images

NeuroImage (Orlando, Fla.), 2006-07, Vol.31 (4), p.1601-1613

2006

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Two-stage approach to intracranial hemorrhage segmentation from head CT images

IEEE access, 2024-01, Vol.12, p.1-1

2024

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Decoding task specific and task general functional architectures of the brain

Human brain mapping, 2022-06, Vol.43 (9), p.2801-2816

2022

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Quantification of liver fibrosis via second harmonic imaging of the Glisson's capsule from liver surface

Journal of biophotonics, 2016-04, Vol.9 (4), p.351-363

2016

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Gene Ontology Enrichment Improves Performances of Functional Similarity of Genes

Scientific reports, 2018-08, Vol.8 (1), p.12100-12, Article 12100

2018

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Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach

Biology direct, 2018-06, Vol.13 (1), p.12-12, Article 12

2018

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Analysis of correlation-based biomolecular networks from different omics data by fitting stochastic block models [version 2; peer review: 1 approved, 2 approved with reservations]

F1000 research, 2019, Vol.8, p.465-465

2019

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Stability of building gene regulatory networks with sparse autoregressive models

BMC bioinformatics, 2011-11, Vol.12 Suppl 13 (Suppl 13), p.S17-S17, Article S17

2011

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Graph embeddings on gene ontology annotations for protein-protein interaction prediction

GO2Vec: transforming GO terms and proteins to vector representations via graph embeddings

Hybrid UNet transformer architecture for ischemic stoke segmentation with MRI and CT datasets

Deep learning and multi-omics approach to predict drug responses in cancer

Segmentation of Clustered Nuclei With Shape Markers and Marking Function

Refining modules to determine functionally significant clusters in molecular networks

Functional homogeneity and specificity of topological modules in human proteome

Elucidating salient site-specific functional connectivity features and site-invariant biomarkers in schizophrenia via deep neural networks

qFibrosis: A fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients

Combining Neuroimaging and Omics Datasets for Disease Classification Using Graph Neural Networks

A deep neural network approach to predicting clinical outcomes of neuroblastoma patients

Serum proteome and cytokine analysis in a longitudinal cohort of adults with primary dengue infection reveals predictive markers of DHF

Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome

MultiDCoX: Multi-factor analysis of differential co-expression

Profiling heterogeneity of Alzheimer's disease using white-matter impairment factors

HUT: Hybrid UNet transformer for brain lesion and tumour segmentation

Ambivert degree identifies crucial brain functional hubs and improves detection of Alzheimer’s Disease and Autism Spectrum Disorder

Learning functional structure from fMR images

Two-stage approach to intracranial hemorrhage segmentation from head CT images

Decoding task specific and task general functional architectures of the brain

Quantification of liver fibrosis via second harmonic imaging of the Glisson's capsule from liver surface

Gene Ontology Enrichment Improves Performances of Functional Similarity of Genes

Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach

Analysis of correlation-based biomolecular networks from different omics data by fitting stochastic block models [version 2; peer review: 1 approved, 2 approved with reservations]

Stability of building gene regulatory networks with sparse autoregressive models

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