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Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection

IEEE/ACM transactions on computational biology and bioinformatics, 2016-09, Vol.13 (5), p.971-989

2016

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GrantExtractor: Accurate Grant Support Information Extraction from Biomedical Fulltext Based on Bi-LSTM-CRF

IEEE/ACM transactions on computational biology and bioinformatics, 2021-01, Vol.18 (1), p.205-215

2021

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Protein-Protein Interaction Identification Using a Similarity-Constrained Graph Model

IEEE/ACM transactions on computational biology and bioinformatics, 2019-03, Vol.16 (2), p.607-616

2019

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Prediction and Informative Risk Factor Selection of Bone Diseases

IEEE/ACM transactions on computational biology and bioinformatics, 2015-01, Vol.12 (1), p.79-91

2015

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Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings

IEEE/ACM transactions on computational biology and bioinformatics, 2016-07, Vol.13 (4), p.669-677

2016

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Extracting Protein Interactions from Text with the Unified AkaneRE Event Extraction System

IEEE/ACM transactions on computational biology and bioinformatics, 2010-07, Vol.7 (3), p.442-453

2010

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A Comprehensive Review of Computational Methods For Drug-Drug Interaction Detection

IEEE/ACM transactions on computational biology and bioinformatics, 2022-07, Vol.19 (4), p.1968-1985

2022

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Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis

IEEE/ACM transactions on computational biology and bioinformatics, 2024-01, Vol.21 (1), p.57-68

2024

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Relation Extraction From Biomedical and Clinical Text: Unified Multitask Learning Framework

IEEE/ACM transactions on computational biology and bioinformatics, 2022-03, Vol.19 (2), p.1105-1116

2022

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Imbalance Data Processing Strategy for Protein Interaction Sites Prediction

IEEE/ACM transactions on computational biology and bioinformatics, 2021-05, Vol.18 (3), p.985-994

2021

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Lung Cancer Subtype Diagnosis by Fusing Image-Genomics Data and Hybrid Deep Networks

IEEE/ACM transactions on computational biology and bioinformatics, 2023-01, Vol.20 (1), p.512-523

2023

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A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour

IEEE/ACM transactions on computational biology and bioinformatics, 2021-01, Vol.18 (1), p.62-69

2021

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Deep Collaborative Filtering for Prediction of Disease Genes

IEEE/ACM transactions on computational biology and bioinformatics, 2020-09, Vol.17 (5), p.1639-1647

2020

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IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling

IEEE/ACM transactions on computational biology and bioinformatics, 2022-11, Vol.19 (6), p.3530-3538

2022

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On Position-Specific Scoring Matrix for Protein Function Prediction

IEEE/ACM transactions on computational biology and bioinformatics, 2011-03, Vol.8 (2), p.308-315

2011

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Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis

IEEE/ACM transactions on computational biology and bioinformatics, 2022-09, Vol.19 (5), p.2572-2583

2022

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MVDINET: A Novel Multi-Level Enzyme Function Predictor With Multi-View Deep Interactive Learning

IEEE/ACM transactions on computational biology and bioinformatics, 2024-01, Vol.21 (1), p.84-94

2024

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ScCCL: Single-Cell Data Clustering Based on Self-Supervised Contrastive Learning

IEEE/ACM transactions on computational biology and bioinformatics, 2023-05, Vol.20 (3), p.2233-2241

2023

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Knowledge Guided Attention and Graph Convolutional Networks for Chemical-Disease Relation Extraction

IEEE/ACM transactions on computational biology and bioinformatics, 2023-01, Vol.20 (1), p.489-499

2023

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Predicting Mirna-Disease Associations Based on Neighbor Selection Graph Attention Networks

IEEE/ACM transactions on computational biology and bioinformatics, 2023-03, Vol.20 (2), p.1298-1307

2023

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Protein Family Classification from Scratch: A CNN Based Deep Learning Approach

IEEE/ACM transactions on computational biology and bioinformatics, 2021-09, Vol.18 (5), p.1996-2007

2021

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LSTM-Based End-to-End Framework for Biomedical Event Extraction

IEEE/ACM transactions on computational biology and bioinformatics, 2020-11, Vol.17 (6), p.2029-2039

2020

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RPCA-Based Tumor Classification Using Gene Expression Data

IEEE/ACM transactions on computational biology and bioinformatics, 2015-07, Vol.12 (4), p.964-970

2015

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Hyppo-X: A Scalable Exploratory Framework for Analyzing Complex Phenomics Data

IEEE/ACM transactions on computational biology and bioinformatics, 2021-07, Vol.18 (4), p.1535-1548

2021

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Transductive Learning for Multi-Label Protein Subchloroplast Localization Prediction

IEEE/ACM transactions on computational biology and bioinformatics, 2017-01, Vol.14 (1), p.212-224

2017

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Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection

GrantExtractor: Accurate Grant Support Information Extraction from Biomedical Fulltext Based on Bi-LSTM-CRF

Protein-Protein Interaction Identification Using a Similarity-Constrained Graph Model

Prediction and Informative Risk Factor Selection of Bone Diseases

Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings

Extracting Protein Interactions from Text with the Unified AkaneRE Event Extraction System

A Comprehensive Review of Computational Methods For Drug-Drug Interaction Detection

Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis

Relation Extraction From Biomedical and Clinical Text: Unified Multitask Learning Framework

Imbalance Data Processing Strategy for Protein Interaction Sites Prediction

Lung Cancer Subtype Diagnosis by Fusing Image-Genomics Data and Hybrid Deep Networks

A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour

Deep Collaborative Filtering for Prediction of Disease Genes

IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling

On Position-Specific Scoring Matrix for Protein Function Prediction

Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis

MVDINET: A Novel Multi-Level Enzyme Function Predictor With Multi-View Deep Interactive Learning

ScCCL: Single-Cell Data Clustering Based on Self-Supervised Contrastive Learning

Knowledge Guided Attention and Graph Convolutional Networks for Chemical-Disease Relation Extraction

Predicting Mirna-Disease Associations Based on Neighbor Selection Graph Attention Networks

Protein Family Classification from Scratch: A CNN Based Deep Learning Approach

LSTM-Based End-to-End Framework for Biomedical Event Extraction

RPCA-Based Tumor Classification Using Gene Expression Data

Hyppo-X: A Scalable Exploratory Framework for Analyzing Complex Phenomics Data

Transductive Learning for Multi-Label Protein Subchloroplast Localization Prediction

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