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Artificial Intelligence in Real World Applications
Task-oriented Snapshot Network Construction of Stock Market
Analysis of elimination algorithm based on curve self-intersection
Towards AI-based Reaction and Mitigation for e-commerce
the ENSURESEC Engine
Arabic Light Stemmer Based on ISRI Stemmer
Biomedical Informatics Theory and Methods
Predicting miRNA-disease associations via a new MeSH headings representation of diseases and eXtreme Gradient Boosting
Social Media Adverse Drug Reaction Detection based on Bi-LSTM with Multi-head Attention Mechanism
HOMC: a hierarchical clustering algorithm based on optimal low rank matrix completion for single cell analysis
mzMD: A new storage and retrieval system for mass spectrometry data
Drug-target Interaction Prediction via Multiple Output Graph Convolutional Networks
Inversion of k-nearest neighbours algorithm for extracting SNPs discriminating human populations
ComPAT: a comprehensive pathway analysis tools
Incorporating Knowledge Base for Deep Classification of Fetal Heart Rate
Review of methods for data collection experiments with people with dementia and the impact of COVID-19
KGRN: Knowledge Graph Relational Path Network for Target Prediction of TCM Prescriptions
Challenges in data capturing and collection for physiological detection of dementia-related difficulties and proposed solutions
Exploring multi-scale temporal and spectral CSP feature for multi-class motion imagination task classification
Gingivitis detection by Wavelet Energy Entropy and Linear Regression Classifier
Decomposition-and-Fusion Network for HE-stained Pathological Image Classification
Complex Diseases Informatics
A novel approach for predicting microbe-disease associations by structural perturbation method
A reinforcement learning-Based model for Human microRNA-disease association prediction
Delineating QSAR descriptors to explore the inherent properties of naturally occurring polyphenols, responsible for alpha-synuclein amyloid disaggregation scheming towards effective therapeutics against Parkinson's disorder
Study on the mechanism of Cistanche in the treatment of colorectal cancer based on network pharmacology
A Novel Hybrid Machine Learning Approach Using Deep Learning for the Prediction of Alzheimer Disease Using Genome Data
Prediction of Heart Disease Probability Based on Various Body Function
Classification of Pulmonary Diseases from X-ray Images Using a Convolutional Neural Network
Predicting lncRNA-disease associations based on tensor decomposition method
AI in Skin Cancer Detection
MiRNA-Disease Associations Prediction based on Neural Tensor Decomposition
Gene Regulation Modeling and Analysis
SHDC: A Method of Similarity Measurement Using Heat Kernel based on Denoising for Clustering scRNA-seq Data
Research on RNA Secondary Structure Prediction Based on MLP
Inference of Gene Regulatory Network from Time Series Expression Data by Combining Local Geometric Similarity and Multivariate Regression
Deep Convolution Recurrent Neural Network for Predicting RNA-Protein Binding Preference in mRNA UTR region
Joint Association Analysis Method to Predict Genes Related to Liver Cancer
A Hybrid Deep Neural Network for the Prediction of in-vivo Protein-DNA Binding by combining multiple-instance learning
Using deep learning to predict transcription factor binding sites combining raw DNA sequence, evolutionary information and epigenomic data
An abnormal gene detection method based on Selene
A method for constructing an integrative network of competing endogenous RNAs
Intelligent Computing in Computational Biology
Detection of Drug-drug Interactions through Knowledge Graph Integrating Multi-attention with Capsule Network
SCEC: A Novel Single-Cell Classification Method Based on Cell-Pair Ensemble Learning
ICNNMDA: An Improved Convolutional Neural Network for Predicting miRNA-disease Associations
DNA-GCN: Graph convolutional networks for predicting DNA-protein binding
Weighted Nonnegative Matrix Factorization based on Multi-Source Fusion Information for Predicting CircRNA-Disease Associations
ScSSC: semi-supervised single cell clustering based on 2D embedding
SNEMO: Spectral Clustering Based on the Neighborhood for Multi-omics Data
Covid-19 detection by Wavelet Entropy and Jaya
An ensemble learning algorithm for predicting HIV-1 protease cleavage sites
RWRNCP: Random Walking with Restart based Network Consistency Projection for Predicting miRNA-disease Association
MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-disease Association
Prognostic prediction for non-small-cell lung cancer based on deep neural network and multimodal data
Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural Network
CNNEMS: Using Convolutional Neural Networks to Predict Drug-Target Interactions by Combining Protein Evolution and Molecular Structures Information
A multi-graph deep learning model for predicting drug-disease associations
Predicting Drug-disease Associations Based on Network Consistency Projection
An efficient computational method to predict drug-target interactions utilizing matrix completion and linear optimization method
Protein Structure and Function Prediction
Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation
DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion
Membrane Protein identification via multiple kernel fuzzy SVM
Golgi Protein Prediction with Deep Forest
Prediction of protein-protein interaction based on deep learning feature representation and random forest.-
Task-oriented Snapshot Network Construction of Stock Market
Analysis of elimination algorithm based on curve self-intersection
Towards AI-based Reaction and Mitigation for e-commerce
the ENSURESEC Engine
Arabic Light Stemmer Based on ISRI Stemmer
Biomedical Informatics Theory and Methods
Predicting miRNA-disease associations via a new MeSH headings representation of diseases and eXtreme Gradient Boosting
Social Media Adverse Drug Reaction Detection based on Bi-LSTM with Multi-head Attention Mechanism
HOMC: a hierarchical clustering algorithm based on optimal low rank matrix completion for single cell analysis
mzMD: A new storage and retrieval system for mass spectrometry data
Drug-target Interaction Prediction via Multiple Output Graph Convolutional Networks
Inversion of k-nearest neighbours algorithm for extracting SNPs discriminating human populations
ComPAT: a comprehensive pathway analysis tools
Incorporating Knowledge Base for Deep Classification of Fetal Heart Rate
Review of methods for data collection experiments with people with dementia and the impact of COVID-19
KGRN: Knowledge Graph Relational Path Network for Target Prediction of TCM Prescriptions
Challenges in data capturing and collection for physiological detection of dementia-related difficulties and proposed solutions
Exploring multi-scale temporal and spectral CSP feature for multi-class motion imagination task classification
Gingivitis detection by Wavelet Energy Entropy and Linear Regression Classifier
Decomposition-and-Fusion Network for HE-stained Pathological Image Classification
Complex Diseases Informatics
A novel approach for predicting microbe-disease associations by structural perturbation method
A reinforcement learning-Based model for Human microRNA-disease association prediction
Delineating QSAR descriptors to explore the inherent properties of naturally occurring polyphenols, responsible for alpha-synuclein amyloid disaggregation scheming towards effective therapeutics against Parkinson's disorder
Study on the mechanism of Cistanche in the treatment of colorectal cancer based on network pharmacology
A Novel Hybrid Machine Learning Approach Using Deep Learning for the Prediction of Alzheimer Disease Using Genome Data
Prediction of Heart Disease Probability Based on Various Body Function
Classification of Pulmonary Diseases from X-ray Images Using a Convolutional Neural Network
Predicting lncRNA-disease associations based on tensor decomposition method
AI in Skin Cancer Detection
MiRNA-Disease Associations Prediction based on Neural Tensor Decomposition
Gene Regulation Modeling and Analysis
SHDC: A Method of Similarity Measurement Using Heat Kernel based on Denoising for Clustering scRNA-seq Data
Research on RNA Secondary Structure Prediction Based on MLP
Inference of Gene Regulatory Network from Time Series Expression Data by Combining Local Geometric Similarity and Multivariate Regression
Deep Convolution Recurrent Neural Network for Predicting RNA-Protein Binding Preference in mRNA UTR region
Joint Association Analysis Method to Predict Genes Related to Liver Cancer
A Hybrid Deep Neural Network for the Prediction of in-vivo Protein-DNA Binding by combining multiple-instance learning
Using deep learning to predict transcription factor binding sites combining raw DNA sequence, evolutionary information and epigenomic data
An abnormal gene detection method based on Selene
A method for constructing an integrative network of competing endogenous RNAs
Intelligent Computing in Computational Biology
Detection of Drug-drug Interactions through Knowledge Graph Integrating Multi-attention with Capsule Network
SCEC: A Novel Single-Cell Classification Method Based on Cell-Pair Ensemble Learning
ICNNMDA: An Improved Convolutional Neural Network for Predicting miRNA-disease Associations
DNA-GCN: Graph convolutional networks for predicting DNA-protein binding
Weighted Nonnegative Matrix Factorization based on Multi-Source Fusion Information for Predicting CircRNA-Disease Associations
ScSSC: semi-supervised single cell clustering based on 2D embedding
SNEMO: Spectral Clustering Based on the Neighborhood for Multi-omics Data
Covid-19 detection by Wavelet Entropy and Jaya
An ensemble learning algorithm for predicting HIV-1 protease cleavage sites
RWRNCP: Random Walking with Restart based Network Consistency Projection for Predicting miRNA-disease Association
MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-disease Association
Prognostic prediction for non-small-cell lung cancer based on deep neural network and multimodal data
Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural Network
CNNEMS: Using Convolutional Neural Networks to Predict Drug-Target Interactions by Combining Protein Evolution and Molecular Structures Information
A multi-graph deep learning model for predicting drug-disease associations
Predicting Drug-disease Associations Based on Network Consistency Projection
An efficient computational method to predict drug-target interactions utilizing matrix completion and linear optimization method
Protein Structure and Function Prediction
Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation
DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion
Membrane Protein identification via multiple kernel fuzzy SVM
Golgi Protein Prediction with Deep Forest
Prediction of protein-protein interaction based on deep learning feature representation and random forest.-