A heterogeneous graph neural network with automatic discovery of effective metapaths for drug-target interaction prediction

Glypred: Lysine Glycation Site Prediction via CCU-LightGBM-BiLSTM Framework with Multi-Head Attention Mechanism

FlexMem: Proactive Memory Deduplication for Qcow2-Based VMs with Virtual Persistent Memory

Surface-based multimodal protein-ligand binding affinity prediction

EPI-Trans: an effective transformer-based deep learning model for enhancer promoter interaction prediction

EPI-HAN: Identification of Enhancer Promoter Interaction Using Hierarchical Attention Network

MoleMCL: a multi-level contrastive learning framework for molecular pre-training

CarSitePred: an integrated algorithm for identifying carbonylated sites based on KNDUA-LNDOT resampling technique

MOASL: Predicting drug mechanism of actions through similarity learning with transcriptomic signature

Regularity-constrained point cloud reconstruction of building models via global alignment

Multi-Part Recognition and Quantification of Tilted Shrimp Using a Composite Approach Based on Object Detection and Key Point Recognition

Uncertainty-Confidence Fused Pseudo-labeling for Graph Neural Networks

A Neural Network Based Model-Free Online-Training Controller for Single Switch DC-DC Converter

FishIR: Identifying Pufferfish Individual Based on Deep Learning and Face Recognition

A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks

Chemical structure-aware molecular image representation learning

Pharmacophoric-constrained heterogeneous graph transformer model for molecular property prediction

MSGCL: inferring miRNA-disease associations based on multi-view self-supervised graph structure contrastive learning

Ancient Character Recognition: A Novel Image Dataset of Shui Manuscript Characters and Classification Model

Fast Accurate Fish Recognition with?Deep Learning Based on?a?Domain-Specific Large-Scale Fish Dataset

Bioactive Peptide Recognition Based on NLP Pre-Train Algorithm

MGCPI: A Multi-granularity Neural Network for Predicting Compound-Protein Interactions

RareDR: A Drug Repositioning Approach for Rare Diseases Based on Knowledge Graph

Attention-Aware Contrastive Learning for Predicting Peptide-HLA Binding Specificity

The Multiple Influences of Natural Farming Environment on the Cultured Population Behavior of Kuruma Prawn, Penaeus japonicus

Pre-Training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding

LaGAT: link-aware graph attention network for drug-drug interaction prediction

MLysPRED: graph-based multi-view clustering and multi-dimensional normal distribution resampling techniques to predict multiple lysine sites

Character Recognition in Endangered Archives: Shui Manuscripts Dataset, Detection and Application Realization

Drug-target interactions prediction via deep collaborative filtering with multiembeddings

DeepTTA: a transformer-based model for predicting cancer drug response

preMLI: a pre-trained method to uncover microRNA-lncRNA potential interactions

The challenges of explainable AI in biomedical data science INTRODUCTION

KGNMDA: A Knowledge Graph Neural Network Method for Predicting Microbe-Disease Associations

CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques

A novel antibacterial peptide recognition algorithm based on BERT

Prediction of pandemic risk for animal-origin coronavirus using a deep learning method

HeTDR: Drug repositioning based on heterogeneous networks and text mining

Predicting enhancer-promoter interactions by deep learning and matching heuristic

Application of deep learning methods in biological networks

Editorial: Membrane Computing A Special Issue Dedicated to Gheorghe Paun on his 70th Birthday

Pm6A: An Integrated Classification Algorithm for 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Identifying m6A Sites

A Meta-Path based Drug-Target Prediction Model with Collaborative Attention Mechanisms

Neural-like P systems with plasmids

Editorial: Membrane computing a special issue dedicated to gheorghe pun on his 70t h birthday

A Deep Ensemble Predictor for Identifying Anti-Hypertensive Peptides Using Pretrained Protein Embedding

Multiobjective Particle Swarm Optimization Based on Network Embedding for Complex Network Community Detection

Computational methods for identifying the critical nodes in biological networks

Identifying enhancer-promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism

Sequence clustering in bioinformatics: an empirical study

2lpiRNApred: a two-layered integrated algorithm for identifying piRNAs and their functions based on LFE-GM feature selection

deepDR: a network-based deep learning approach to in silico drug repositioning

A Deep Neural Network for Antimicrobial Peptide Recognition

On solutions and representations of spiking neural P systems with rules on synapses

An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies

Application of Machine Learning in Microbiology

Learning to Predict Drug Target Interaction from Missing Not at Random Labels

Sc-ncDNAPred: A Sequence-Based Predictor for Identifying Non-coding DNA in Saccharomyces cerevisiae

Machine Learning for Drug-Target Interaction Prediction

Structural Hole Spanner in HumanNet Identifies Disease Gene and Drug targets

Computational prediction of sigma-54 promoters in bacterial genomes by integrating motif finding and machine learning strategies

Deep-based fisher vector for mobile visual search

Using MOEA with Redistribution and Consensus Branches to Infer Phylogenies

A Weighted Bagging LightGBM Model for Potential lncRNA-Disease Association Identification

DNA Strand Displacement Based on Nicking Enzyme for DNA Logic Circuits

On String Languages Generated by Spiking Neural P Systems with Structural Plasticity

An implementation of elementary arithmetic with virus machine

Predict the Relationship between Gene and Large Yellow Croaker's Economic Traits

Computational prediction of human disease-related microRNAs by path-based random walk

Aptamer-Binding Directed DNA Origami Pattern for Logic Gates

Investment behavior prediction in heterogeneous information network

Resistance gene identification from Larimichthys crocea with machine learning techniques

An Empirical Study of Features Fusion Techniques for Protein-Protein Interaction Prediction

Bifunctional Nano Lycurgus Cup Array Plasmonic Sensor for Colorimetric Sensing and Surface-Enhanced Raman Spectroscopy

Implementation of Arithmetic Operations With Time-Free Spiking Neural P Systems

Reusable logic gates based on DNA strand branch migration

Audio jack based miniaturized mobile phone electrochemical sensing platform

Asynchronous spiking neural P systems with rules on synapses

Molecular Logic Computation with Debugging Method

The power of time-free tissue P systems: Attacking NP-complete problems

A uniform solution to integer factorization using time-free spiking neural P system

On languages generated by spiking neural P systems with weights

Question microblog identification and answer recommendation

Asynchronous Spiking Neural P Systems with Anti-Spikes

Time-Free Tissue P Systems for Solving the Hamilton Path Problem

Solving Multidimensional 0-1 Knapsack Problem with Time-Free Tissue P Systems

IDENTIFYING RELIABLE POSTS AND USERS IN ONLINE SOCIAL NETWORKS

Identifying multi-functional enzyme by hierarchical multi-label classifier

Hierarchical Classification of Protein Folds Using a Novel Ensemble Classifier

Development of an in vivo computer for the SAT problem

A programmable biomolecular computing devices with RNAi

Quantitative modeling and simulation of Anterior Chamber in OCT images

A biomolecular computing model in vivo for minimum dominating set problem

Interstitial photodynamic therapy for cancers of cavum oris, skin and cervix