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An integration of deep learning with feature embedding for protein-protein interaction prediction

PeerJ (San Francisco, CA), 2019-06, Vol.7, p.e7126-e7126, Article e7126

2019

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ConvsPPIS: Identifying Protein-protein Interaction Sites by an Ensemble Convolutional Neural Network with Feature Graph

Current bioinformatics, 2020-01, Vol.15 (4), p.368-378

2020

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Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture

Medical image analysis, 2018-12, Vol.50, p.82-94

2018

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A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification

IEEE access, 2019, Vol.7, p.23537-23548

2019

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Generative image inpainting for link prediction

Applied intelligence (Dordrecht, Netherlands), 2020-12, Vol.50 (12), p.4482-4494

2020

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Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning

PeerJ (San Francisco, CA), 2021-05, Vol.9, p.e11262-e11262, Article e11262

2021

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A Double-Teacher Model Capable of Exploiting Isomorphic and Heterogeneous Discrepancy Information for Medical Image Segmentation

Diagnostics (Basel), 2023-06, Vol.13 (11), p.1971

2023

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Cardiac-DeepIED: Automatic Pixel-Level Deep Segmentation for Cardiac Bi-Ventricle Using Improved End-to-End Encoder-Decoder Network

IEEE journal of translational engineering in health and medicine, 2019-01, Vol.7, p.1-10

2019

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Down-regulation of Skp2 expression inhibits invasion and lung metastasis in osteosarcoma

Scientific reports, 2018-09, Vol.8 (1), p.14294-13, Article 14294

2018

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A novel feature extraction scheme with ensemble coding for protein-protein interaction prediction

International journal of molecular sciences, 2014-07, Vol.15 (7), p.12731-12749

2014

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Identification and Analysis of Cancer Diagnosis Using Probabilistic Classification Vector Machines with Feature Selection

Current bioinformatics, 2018-01, Vol.13 (6), p.625-632

2018

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Analysis and Prediction of Exon Skipping Events from RNA-Seq with Sequence Information Using Rotation Forest

International journal of molecular sciences, 2017-12, Vol.18 (12), p.2691

2017

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Deep Regression Segmentation for Cardiac Bi-Ventricle MR Images

IEEE access, 2018-01, Vol.6, p.3828-3838

2018

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Segmentation and visualization of left atrium through a unified deep learning framework

International journal for computer assisted radiology and surgery, 2020-04, Vol.15 (4), p.589-600

2020

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Multimodal adversarial representation learning for breast cancer prognosis prediction

Computers in biology and medicine, 2023-05, Vol.157, p.106765-106765, Article 106765

2023

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Constraint-Based Unsupervised Domain Adaptation Network for Multi-Modality Cardiac Image Segmentation

IEEE journal of biomedical and health informatics, 2022-01, Vol.26 (1), p.67-78

2022

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Classifying Incomplete Gene-Expression Data: Ensemble Learning with Non-Pre-Imputation Feature Filtering and Best-First Search Technique

International journal of molecular sciences, 2018-10, Vol.19 (11), p.3398

2018

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JLCRB: A unified multi-view-based joint representation learning for CircRNA binding sites prediction

Journal of biomedical informatics, 2022-12, Vol.136, p.104231-104231, Article 104231

2022

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DeepSS: Exploring Splice Site Motif Through Convolutional Neural Network Directly From DNA Sequence

IEEE access, 2018-01, Vol.6, p.32958-32978

2018

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Correlated Regression Feature Learning for Automated Right Ventricle Segmentation

IEEE journal of translational engineering in health and medicine, 2018-01, Vol.6, p.1-10

2018

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Deep Multi-Label Joint Learning for RNA and DNA-Binding Proteins Prediction

IEEE/ACM transactions on computational biology and bioinformatics, 2023-01, Vol.20 (1), p.307-320

2023

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econvRBP: Improved ensemble convolutional neural networks for RNA binding protein prediction directly from sequence

Methods (San Diego, Calif.), 2020-10, Vol.181-182, p.15-23

2020

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Complexity Analysis of Electroencephalogram Dynamics in Patients with Parkinson’s Disease

Parkinson's disease, 2017-01, Vol.2017 (2017), p.1-9

2017

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MsDBP: Exploring DNA-Binding Proteins by Integrating Multiscale Sequence Information via Chou’s Five-Step Rule

Journal of proteome research, 2019-08, Vol.18 (8), p.3119-3132

2019

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DeepPPI: Boosting Prediction of Protein–Protein Interactions with Deep Neural Networks

Journal of chemical information and modeling, 2017-06, Vol.57 (6), p.1499-1510

2017

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An integration of deep learning with feature embedding for protein-protein interaction prediction

ConvsPPIS: Identifying Protein-protein Interaction Sites by an Ensemble Convolutional Neural Network with Feature Graph

Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture

A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification

Generative image inpainting for link prediction

Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning

A Double-Teacher Model Capable of Exploiting Isomorphic and Heterogeneous Discrepancy Information for Medical Image Segmentation

Cardiac-DeepIED: Automatic Pixel-Level Deep Segmentation for Cardiac Bi-Ventricle Using Improved End-to-End Encoder-Decoder Network

Down-regulation of Skp2 expression inhibits invasion and lung metastasis in osteosarcoma

A novel feature extraction scheme with ensemble coding for protein-protein interaction prediction

Identification and Analysis of Cancer Diagnosis Using Probabilistic Classification Vector Machines with Feature Selection

Analysis and Prediction of Exon Skipping Events from RNA-Seq with Sequence Information Using Rotation Forest

Deep Regression Segmentation for Cardiac Bi-Ventricle MR Images

Segmentation and visualization of left atrium through a unified deep learning framework

Multimodal adversarial representation learning for breast cancer prognosis prediction

Constraint-Based Unsupervised Domain Adaptation Network for Multi-Modality Cardiac Image Segmentation

Classifying Incomplete Gene-Expression Data: Ensemble Learning with Non-Pre-Imputation Feature Filtering and Best-First Search Technique

JLCRB: A unified multi-view-based joint representation learning for CircRNA binding sites prediction

DeepSS: Exploring Splice Site Motif Through Convolutional Neural Network Directly From DNA Sequence

Correlated Regression Feature Learning for Automated Right Ventricle Segmentation

Deep Multi-Label Joint Learning for RNA and DNA-Binding Proteins Prediction

econvRBP: Improved ensemble convolutional neural networks for RNA binding protein prediction directly from sequence

Complexity Analysis of Electroencephalogram Dynamics in Patients with Parkinson’s Disease

MsDBP: Exploring DNA-Binding Proteins by Integrating Multiscale Sequence Information via Chou’s Five-Step Rule

DeepPPI: Boosting Prediction of Protein–Protein Interactions with Deep Neural Networks

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