Current Bioinformatics

Papers
(The TQCC of Current Bioinformatics is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
Toxicity Prediction for Immune Thrombocytopenia Caused by Drugs Based on Logistic Regression with Feature Importance294
Novel Design for Multi-Epitope Vaccines of COVID-19 and Critical In-Silico Assessment Steps58
Network Subgraph-based Method: Alignment-free Technique for Molecular Network Analysis42
A Skin Cancer Detector Based on Transfer Learning and Feature Fusion37
Multivariate Information Fusion for Identifying Antifungal Peptides with Hilbert-Schmidt Independence Criterion37
AthEDL: Identifying Enhancers in Arabidopsis thaliana Using an Attention-based Deep Learning Method32
PredART: Uncertainty-quantified Machine Learning Prediction of Androgen Receptor Agonists Overcoming Imbalanced Dataset28
DILI-Stk: An Ensemble Model for the Prediction of Drug-induced Liver Injury of Drug Candidates21
Enhancing Drug-Target Binding Affinity Prediction through Deep Learning and Protein Secondary Structure Integration21
Decoding Seven Basic Odors by Investigating Pharmacophores and Molecular Features of Odorants20
Analyzing Association Between Expression Quantitative Trait and CNV for Breast Cancer Based on Gene Interaction Network Clustering and Group Sparse Learning20
Biopanning Data Bank 2023: Updating and New Findings19
Decoding the Genetic Code: Scientific Exploration of the Telomere-totelomere (T2T) Genome17
CNVviso: Visualisation Solution for Copy Number Variation Data from Ultra-Low Coverage Whole-Genome Sequencing and Preimplantation Genetic Testing17
Meet the Editorial Board Member16
Prediction of Protein-protein Interactions in Arabidopsis thaliana Using Partial Training Samples in a Machine Learning Framework15
A Deep Neural Network Model with Attribute Network Representation for lncRNA-Protein Interaction Prediction13
A Novel Machine-learning Model to Classify Schizophrenia Using Methylation Data Based on Gene Expression13
The Prospect of Bioactive Peptide Research: A Review on Databases and Tools12
Prediction of DNA-binding Sites in Transcriptions Factor in Fur-like Proteins Using Machine Learning and Molecular Descriptors11
Deep Learning in Disease Diagnosis: Models and Datasets10
BDselect: A Package for k-mer Selection Based on the Binomial Distribution10
P4PC: A Portal for Bioinformatics Resources of piRNAs and circRNAs10
Application of Improved Support Vector Machine for Pulmonary Syndrome Exposure with Computer Vision Measures10
PKE-Ubsite: A Ubiquitylation Site Predictor for Plants Based on Multiple Encoders and Ensemble Deep Learning Framework10
Prospects of Identifying Alternative Splicing Events from Single-Cell RNA Sequencing Data9
Integrated Bioinformatics and Machine Learning Algorithms Analyses Highlight Related Pathways and Genes Associated with Alzheimer's Disease9
Improved Hybrid Particle Swarm Optimizer with Sine-Cosine Acceleration Coefficients for Transient Electromagnetic Inversion9
Effective Classification of Melting Curve in Real-time PCR Based on Dynamic Filter-based Convolutional Neural Network9
Identifying Key Clinical Indicators Associated with the Risk of Death in Hospitalized COVID-19 Patients9
A Review of Biosequences Alignment, Matching, and Mining Based on GPU9
Identifying Pathological Myopia Associated Genes with A Random Walk-Based Method in Protein-Protein Interaction Network8
Design and In-silico Screening of Short Antimicrobial Peptides (AMPs) as Anti-Tubercular Agents Targeting INHA8
Mathematical Modelling and Bioinformatics Analyses of Drug Resistance for Cancer Treatment8
scADCA: An Anomaly Detection-Based scRNA-seq Dataset Cell Type Annotation Method for Identifying Novel Cells8
m5C-HPromoter: An Ensemble Deep Learning Predictor for Identifying 5-methylcytosine Sites in Human Promoters8
Validating the Distinctiveness of the Omicron Lineage within the SARS-CoV-2 based on Protein Language Models8
Identification of Drug-Disease Associations by Using Multiple Drug and Disease Networks8
In silico Study of Clinical Prognosis Associated MicroRNAs for Patients with Metastasis in Clear Cell Renal Carcinoma8
EpiSemble: A Novel Ensemble-based Machine-learning Framework for Prediction of DNA N6-methyladenine Sites Using Hybrid Features Selection Approach for Crops8
Exploiting Gene Expression Signatures in Breast Cancer Cell Lines to Unveil Novel Drug Candidates and Synergistic Combinations8
Prediction of Drug-target Binding Affinity by An Ensemble Lear ning System with Network Fusion Information7
DEGoldS: A Workflow to Assess the Accuracy of Differential Expression Analysis Pipelines through Gold-standard Construction7
Meet the Editorial Board Member7
Mapping Drug-gene Interactions to Identify Potential Drug Candidates Targeting Envelope Protein in SARS-CoV-2 Infection7
Application of Deep Learning Neural Networks in Computer-Aided Drug Discovery: A Review7
Research on the Mechanism of Traditional Chinese Medicine Treatment for Diseases caused by Human Coronavirus COVID-197
Five Years of Gene Networks Modeling in Single-cell RNA-sequencing Studies: Current Approaches and Outstanding Challenges7
NaProGraph: Network Analyzer for Interactions between Nucleic Acids and Proteins7
Differential Gene Expression in Cancer: An Overrated Analysis?6
Novel Statistical Approaches for Survival Analysis of RNA-Sequencing Data6
Integrated Machine Learning Algorithms for Stratification of Patients with Bladder Cancer6
Biomarkers Identification of Hepatocellular Carcinoma Based on Multiomics Data Integration and Graph-embedded Deep Neural Network6
A Novel Method for Predicting Essential Proteins by Integrating Multidimensional Biological Attribute Information and Topological Properties6
Identification of Key Prognosis-related microRNAs in Early- and Late- Stage Gynecological Cancers Based on TCGA Data6
A Tagging SNP Set Method Based on Network Community Partition of Linkage Disequilibrium and Node Centrality6
The Significance of Chromosome Conformation Capture in 3D Genome Architecture Comprehension6
Delineating Characteristic Sequence and Structural Features of Precursor and Mature Piwi-interacting RNAs of Epithelial Ovarian Cancer6
Meet the Section Editor6
Prediction and Motif Analysis of 2’-O-methylation Using a Hybrid Deep Learning Model from RNA Primary Sequence and Nanopore Signals6
ADSVAE: An Adaptive Density-aware Spectral Clustering Method for Multi-omics Data Based on Variational Autoencoder6
HAMP: A Knowledge-base of Antimicrobial Peptides from Human Microbiome6
Screening and Identification of Key Genes for Cervical Cancer, Ovarian Cancer and Endometrial Cancer by Combinational Bioinformatic Analysis6
A Cross-entropy-based Method for Essential Protein Identification in Yeast Protein-protein Interaction Network5
Inferring Gene Regulatory Networks from Single-Cell Time-Course Data Based on Temporal Convolutional Networks5
Analysis of Alternative Splicing Heterogeneity during Early Stages of Mouse Embryonic Development5
Full-length PacBio Amplicon Sequencing to Unveil RNA Editing Sites5
Scaling Method for Batch Effect Correction of Gene Expression Data Based on Spectral Clustering5
Potentiality of Risk SNPs Identification Based on GSP Theory5
Integrated Multi-Omics Data Analysis Identifies a Novel Genetics-Risk Gene of IRF4 Associated with Prognosis of Oral Cavity Cancer5
Early Prediction of Malignant Mesothelioma: An Approach Towards Non-invasive Method5
scZIGVAE: A Variational Graph Attention Autoencoder Based on the Zero-Inflated Negative Binomial Distribution for Clustering Single-cell RNA-Seq Data5
SNPs of Metabolic Syndrome are Associated with Benign Prostatic Hyperplasia Development and Progression in Chinese Population5
Construction of Network Biomarkers Using Inter-Feature Correlation Coefficients (FeCO3) and their Application in Detecting High-Order Breast Cancer Biomarkers5
Construction and Comprehensive Analysis of a Special Competitive Endogenous RNAs Network to Reveal Potential Prognostic Biomarkers for Endometrial Carcinoma5
MaxDEL: Accurate and Efficient Calling of Genomic Deletions from Single Molecular Real-time Sequencing Using Integrated Method5
Association Analysis Between Introns and mRNAs in Caenorhabditis elegans Genes with Different Expression Levels5
MBMM: Moment Estimating Beta Mixture Model-based Clustering Algorithm for m6A Co-methylation Module Mining5
Machine Learning Applications in the Study of Parkinson’s Disease: A Systematic Review5
Immune-related Gene-based Prognostic Signature for the Risk Stratification Analysis of Breast Cancer5
MCHAN: Prediction of Human Microbe-drug Associations Based on Multiview Contrastive Hypergraph Attention Network4
MBPathNCP: A Metabolic Pathway Prediction Model for Chemicals and Enzymes Based on Network Consistency Projection4
TumorDet: A Breast Tumor Detection Model Based on Transfer Learning and ShuffleNet4
An Effective Method to Identify Cooperation Driver Gene Sets4
Artificial Neural Network Models for Coronary Artery Disease4
Drug-target Interaction Prediction By Combining Transformer and Graph Neural Networks4
scSDSC: Self-supervised Deep Subspace Clustering for scRNA-seq Data4
SNP-based Computational Analysis Reveals Recombination-associated Genome Evolution in Humans4
scTSSR-D: Gene Expression Recovery by Two-side Self-Representation and Dropout Information for scRNA-seq Data4
Stacking-Kcr: A Stacking Model for Predicting the Crotonylation Sites of Lysine by Fusing Serial and Automatic Encoder4
Identification of Plasmodium Secreted Proteins Based on MonoDiKGap and Distance-Based Top-n-Gram Methods4
PredPVP: A Stacking Model for Predicting Phage Virion Proteins Based on Feature Selection Methods4
Prediction of Plant Ubiquitylation Proteins and Sites by Fusing Multiple Features4
Machine Learning and Deep Learning Strategies in Drug Repositioning3
Screening Differential Hub Genes Related with the Hypoglycemic Effect of Quercetin Through Data Mining3
i4mC-CPXG: A Computational Model for Identifying DNA N4- methylcytosine Sites in Rosaceae Genome Using Novel Encoding Strategy3
GB5mCPred: Cross-species 5mc Site Predictor Based on Bootstrap-based Stochastic Gradient Boosting Method for Poaceae3
Recommendations for Bioinformatic Tools in lncRNA Research3
A Method of Enhancing Heterogeneous Graph Representation for Predicting the Associations between lncRNAs and Diseases3
DSPE: An End-to-End Drug Synergy Combination Prediction Algorithm for Echinococcosis3
miRNA, siRNA, and lncRNA: Recent Development of Bioinformatics Tools and Databases in Support of Combating Different Diseases3
iProm-Yeast: Prediction Tool for Yeast Promoters Based on ML Stacking3
Colorectal Cancer Classification and Survival Analysis Based on an Integrated RNA and DNA Molecular Signature3
CRISPR/ Cas9 Off-targets: Computational Analysis of Causes, Prediction, Detection, and Overcoming Strategies3
Exploring the Hepatotoxicity of Drugs through Machine Learning and Network Toxicological Methods3
Identification and Analysis of Plant miRNAs: Evolution of In-silico Resources and Future Challenges3
Construction of an Expression Classifier Based on an Immune-related Ten-gene Panel for Rapid Diagnosis of Papillary Thyroid Carcinoma Risks3
Prioritizing Cancer lncRNA Modulators via Integrated lncRNA-mRNA Network and Somatic Mutation Data3
Convolutional Neural Networks: A Promising Deep Learning Architecture for Biological Sequence Analysis3
Enhancing Drug Peptide Sequence Prediction Using Multi-view Feature Fusion Learning3
Network Propagation-based Identification of Oligometastatic Biomarkers in Metastatic Colorectal Cancer3
iAnt: Combination of Convolutional Neural Network and Random Forest Models Using PSSM and BERT Features to Identify Antioxidant Proteins3
Exploring Coding Sequence Length Distributions Across Taxonomic Kingdoms Based on Maximum Information Principle3
Characterization, Potential Prognostic Value, and Immune Heterogeneity of Cathepsin C in Diffuse Glioma3
Identification of Potential Biomarkers in Stomach Adenocarcinoma using Machine Learning Approaches3
Combining Network-based and Matrix Factorization to Predict Novel Drug-target Interactions: A Case Study Using the Brazilian Natural Chemical Database3
Detection of Hepatitis B Virus-associated Hepatocellular Carcinoma Disease Using Hybrid Hierarchical k-Means Clustering and SVM Algorithm3
MDAPlatform: A Component-based Platform for Constructing and Assessing miRNA-disease Association Prediction Methods3
QLDTI: A Novel Reinforcement Learning-based Prediction Model for Drug-Target Interaction3
Meet the Editorial Board Member3
Robust Somatic Copy Number Estimation using Coarse-to-fine Segmentation3
YADA - Reference Free Deconvolution of RNA Sequencing Data3
Evaluating the Reliability of Machine Learning Predictors in m6A-SNP Association Analysis: A Comparative Study Using m6A-QTL Data3
iATC-NFMLP: Identifying Classes of Anatomical Therapeutic Chemicals Based on Drug Networks, Fingerprints, and Multilayer Perceptron3
Sia-m7G: Predicting m7G Sites through the Siamese Neural Network with an Attention Mechanism3
MFTP-Tool: A Wide & Deep Learning Framework for Multi-Functional Therapeutic Peptides Prediction3
Identifying Biomarkers of Cisplatin Sensitivity in Non-Small Cell Lung Cancer via Comprehensive Integrative Analysis3
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