A Hybrid Deep Learning Model for Protein–Protein Interactions Extraction from Biomedical Literature

Action Recognition Based on the Fusion of Graph Convolutional Networks with High Order Features

(2020) Jiuqing Dong et al.   Applied Sciences-Basel

Trends and Features of the Applications of Natural Language Processing Techniques for Clinical Trials Text Analysis

(2020) Xieling Chen et al.   Applied Sciences-Basel

Feature assisted stacked attentive shortest dependency path based Bi-LSTM model for protein–protein interaction

(2018) Shweta Yadav et al.   KNOWLEDGE-BASED SYSTEMS

Noninvasive Grading of Glioma Tumor Using Magnetic Resonance Imaging with Convolutional Neural Networks

(2017) Saed Khawaldeh et al.   Applied Sciences-Basel

Small molecules, big targets: drug discovery faces the protein–protein interaction challenge

(2016) Duncan E. Scott et al.   NATURE REVIEWS DRUG DISCOVERY

Multichannel Convolutional Neural Network for Biological Relation Extraction

(2016) Chanqin Quan et al.   Biomed Research International

A Shortest Dependency Path Based Convolutional Neural Network for Protein-Protein Relation Extraction

(2016) Lei Hua et al.   Biomed Research International

An Unsupervised Text Mining Method for Relation Extraction from Biomedical Literature

(2014) Changqin Quan et al.   PLoS One

A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents

(2011) Isabel Segura-Bedmar et al.   BMC BIOINFORMATICS

Using a shallow linguistic kernel for drug–drug interaction extraction

(2011) Isabel Segura-Bedmar et al.   JOURNAL OF BIOMEDICAL INFORMATICS

The IntAct molecular interaction database in 2012

(2011) S. Kerrien et al.   NUCLEIC ACIDS RESEARCH