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 2021-05-01 to 2025-05-01.)
ArticleCitations
Toxicity Prediction for Immune Thrombocytopenia Caused by Drugs Based on Logistic Regression with Feature Importance291
Decoding Seven Basic Odors by Investigating Pharmacophores and Molecular Features of Odorants58
Decoding the Genetic Code: Scientific Exploration of the Telomere-totelomere (T2T) Genome42
Novel Design for Multi-Epitope Vaccines of COVID-19 and Critical In-Silico Assessment Steps36
Network Subgraph-based Method: Alignment-free Technique for Molecular Network Analysis34
Multivariate Information Fusion for Identifying Antifungal Peptides with Hilbert-Schmidt Independence Criterion32
A Skin Cancer Detector Based on Transfer Learning and Feature Fusion28
AthEDL: Identifying Enhancers in Arabidopsis thaliana Using an Attention-based Deep Learning Method21
Analyzing Association Between Expression Quantitative Trait and CNV for Breast Cancer Based on Gene Interaction Network Clustering and Group Sparse Learning19
PredART: Uncertainty-quantified Machine Learning Prediction of Androgen Receptor Agonists Overcoming Imbalanced Dataset19
Enhancing Drug-Target Binding Affinity Prediction through Deep Learning and Protein Secondary Structure Integration18
DILI-Stk: An Ensemble Model for the Prediction of Drug-induced Liver Injury of Drug Candidates18
CNVviso: Visualisation Solution for Copy Number Variation Data from Ultra-Low Coverage Whole-Genome Sequencing and Preimplantation Genetic Testing17
Deep Learning in Disease Diagnosis: Models and Datasets16
Meet the Editorial Board Member16
Application of Improved Support Vector Machine for Pulmonary Syndrome Exposure with Computer Vision Measures15
BDselect: A Package for k-mer Selection Based on the Binomial Distribution13
Prediction of Protein-protein Interactions in Arabidopsis thaliana Using Partial Training Samples in a Machine Learning Framework13
A Deep Neural Network Model with Attribute Network Representation for lncRNA-Protein Interaction Prediction11
PKE-Ubsite: A Ubiquitylation Site Predictor for Plants Based on Multiple Encoders and Ensemble Deep Learning Framework10
A Novel Machine-learning Model to Classify Schizophrenia Using Methylation Data Based on Gene Expression10
Prediction of DNA-binding Sites in Transcriptions Factor in Fur-like Proteins Using Machine Learning and Molecular Descriptors10
P4PC: A Portal for Bioinformatics Resources of piRNAs and circRNAs10
The Prospect of Bioactive Peptide Research: A Review on Databases and Tools10
Identifying Key Clinical Indicators Associated with the Risk of Death in Hospitalized COVID-19 Patients9
Prospects of Identifying Alternative Splicing Events from Single-Cell RNA Sequencing Data9
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
Mathematical Modelling and Bioinformatics Analyses of Drug Resistance for Cancer Treatment9
Identification of Drug-Disease Associations by Using Multiple Drug and Disease Networks9
Validating the Distinctiveness of the Omicron Lineage within the SARS-CoV-2 based on Protein Language Models8
EpiSemble: A Novel Ensemble-based Machine-learning Framework for Prediction of DNA N6-methyladenine Sites Using Hybrid Features Selection Approach for Crops8
A Review of Biosequences Alignment, Matching, and Mining Based on GPU8
In silico Study of Clinical Prognosis Associated MicroRNAs for Patients with Metastasis in Clear Cell Renal Carcinoma8
Exploiting Gene Expression Signatures in Breast Cancer Cell Lines to Unveil Novel Drug Candidates and Synergistic Combinations8
Integrated Bioinformatics and Machine Learning Algorithms Analyses Highlight Related Pathways and Genes Associated with Alzheimer's Disease8
m5C-HPromoter: An Ensemble Deep Learning Predictor for Identifying 5-methylcytosine Sites in Human Promoters8
Five Years of Gene Networks Modeling in Single-cell RNA-sequencing Studies: Current Approaches and Outstanding Challenges8
scADCA: An Anomaly Detection-Based scRNA-seq Dataset Cell Type Annotation Method for Identifying Novel Cells8
Application of Deep Learning Neural Networks in Computer-Aided Drug Discovery: A Review7
Meet the Editorial Board Member7
Design and In-silico Screening of Short Antimicrobial Peptides (AMPs) as Anti-Tubercular Agents Targeting INHA7
NaProGraph: Network Analyzer for Interactions between Nucleic Acids and Proteins7
Research on the Mechanism of Traditional Chinese Medicine Treatment for Diseases caused by Human Coronavirus COVID-197
Mapping Drug-gene Interactions to Identify Potential Drug Candidates Targeting Envelope Protein in SARS-CoV-2 Infection7
Identifying Pathological Myopia Associated Genes with A Random Walk-Based Method in Protein-Protein Interaction Network7
Prediction of Drug-target Binding Affinity by An Ensemble Lear ning System with Network Fusion Information7
ADSVAE: An Adaptive Density-aware Spectral Clustering Method for Multi-omics Data Based on Variational Autoencoder6
Differential Gene Expression in Cancer: An Overrated Analysis?6
A Novel Method for Predicting Essential Proteins by Integrating Multidimensional Biological Attribute Information and Topological Properties6
Screening and Identification of Key Genes for Cervical Cancer, Ovarian Cancer and Endometrial Cancer by Combinational Bioinformatic Analysis6
Biomarkers Identification of Hepatocellular Carcinoma Based on Multiomics Data Integration and Graph-embedded Deep Neural Network6
Novel Statistical Approaches for Survival Analysis of RNA-Sequencing Data6
DEGoldS: A Workflow to Assess the Accuracy of Differential Expression Analysis Pipelines through Gold-standard Construction6
Identification of Key Prognosis-related microRNAs in Early- and Late- Stage Gynecological Cancers Based on TCGA Data6
Integrated Machine Learning Algorithms for Stratification of Patients with Bladder Cancer6
A Tagging SNP Set Method Based on Network Community Partition of Linkage Disequilibrium and Node Centrality6
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
HAMP: A Knowledge-base of Antimicrobial Peptides from Human Microbiome6
The Significance of Chromosome Conformation Capture in 3D Genome Architecture Comprehension6
Association Analysis Between Introns and mRNAs in Caenorhabditis elegans Genes with Different Expression Levels5
scZIGVAE: A Variational Graph Attention Autoencoder Based on the Zero-Inflated Negative Binomial Distribution for Clustering Single-cell RNA-Seq Data5
Full-length PacBio Amplicon Sequencing to Unveil RNA Editing Sites5
Scaling Method for Batch Effect Correction of Gene Expression Data Based on Spectral Clustering5
A Cross-entropy-based Method for Essential Protein Identification in Yeast Protein-protein Interaction Network5
MaxDEL: Accurate and Efficient Calling of Genomic Deletions from Single Molecular Real-time Sequencing Using Integrated Method5
Early Prediction of Malignant Mesothelioma: An Approach Towards Non-invasive Method5
SNPs of Metabolic Syndrome are Associated with Benign Prostatic Hyperplasia Development and Progression in Chinese Population5
Stacking-Kcr: A Stacking Model for Predicting the Crotonylation Sites of Lysine by Fusing Serial and Automatic Encoder5
Delineating Characteristic Sequence and Structural Features of Precursor and Mature Piwi-interacting RNAs of Epithelial Ovarian Cancer5
Integrated Multi-Omics Data Analysis Identifies a Novel Genetics-Risk Gene of IRF4 Associated with Prognosis of Oral Cavity Cancer5
Inferring Gene Regulatory Networks from Single-Cell Time-Course Data Based on Temporal Convolutional Networks5
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
Potentiality of Risk SNPs Identification Based on GSP Theory5
Construction and Comprehensive Analysis of a Special Competitive Endogenous RNAs Network to Reveal Potential Prognostic Biomarkers for Endometrial Carcinoma5
TumorDet: A Breast Tumor Detection Model Based on Transfer Learning and ShuffleNet4
MCHAN: Prediction of Human Microbe-drug Associations Based on Multiview Contrastive Hypergraph Attention Network4
SNP-based Computational Analysis Reveals Recombination-associated Genome Evolution in Humans4
Identification of Plasmodium Secreted Proteins Based on MonoDiKGap and Distance-Based Top-n-Gram Methods4
scSDSC: Self-supervised Deep Subspace Clustering for scRNA-seq Data4
Drug-target Interaction Prediction By Combining Transformer and Graph Neural Networks4
Immune-related Gene-based Prognostic Signature for the Risk Stratification Analysis of Breast Cancer4
PredPVP: A Stacking Model for Predicting Phage Virion Proteins Based on Feature Selection Methods4
Construction of Network Biomarkers Using Inter-Feature Correlation Coefficients (FeCO3) and their Application in Detecting High-Order Breast Cancer Biomarkers4
MBPathNCP: A Metabolic Pathway Prediction Model for Chemicals and Enzymes Based on Network Consistency Projection4
Artificial Neural Network Models for Coronary Artery Disease4
An Effective Method to Identify Cooperation Driver Gene Sets4
Sia-m7G: Predicting m7G Sites through the Siamese Neural Network with an Attention Mechanism3
Enhancing Drug Peptide Sequence Prediction Using Multi-view Feature Fusion Learning3
Robust Somatic Copy Number Estimation using Coarse-to-fine Segmentation3
Convolutional Neural Networks: A Promising Deep Learning Architecture for Biological Sequence Analysis3
CRISPR/ Cas9 Off-targets: Computational Analysis of Causes, Prediction, Detection, and Overcoming Strategies3
Detection of Hepatitis B Virus-associated Hepatocellular Carcinoma Disease Using Hybrid Hierarchical k-Means Clustering and SVM Algorithm3
iAnt: Combination of Convolutional Neural Network and Random Forest Models Using PSSM and BERT Features to Identify Antioxidant Proteins3
Colorectal Cancer Classification and Survival Analysis Based on an Integrated RNA and DNA Molecular Signature3
Identification of Potential Biomarkers in Stomach Adenocarcinoma using Machine Learning Approaches3
iATC-NFMLP: Identifying Classes of Anatomical Therapeutic Chemicals Based on Drug Networks, Fingerprints, and Multilayer Perceptron3
Exploring the Hepatotoxicity of Drugs through Machine Learning and Network Toxicological Methods3
Detection of Stage-wise Biomarkers in Lung Adenocarcinoma Using Multiplex Analysis3
A Method of Enhancing Heterogeneous Graph Representation for Predicting the Associations between lncRNAs and Diseases3
Screening Differential Hub Genes Related with the Hypoglycemic Effect of Quercetin Through Data Mining3
Exploring Coding Sequence Length Distributions Across Taxonomic Kingdoms Based on Maximum Information Principle3
scTSSR-D: Gene Expression Recovery by Two-side Self-Representation and Dropout Information for scRNA-seq Data3
Combining Network-based and Matrix Factorization to Predict Novel Drug-target Interactions: A Case Study Using the Brazilian Natural Chemical Database3
Prediction of Plant Ubiquitylation Proteins and Sites by Fusing Multiple Features3
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
YADA - Reference Free Deconvolution of RNA Sequencing Data3
Meet the Editorial Board Member3
Network Propagation-based Identification of Oligometastatic Biomarkers in Metastatic Colorectal Cancer3
Machine Learning and Deep Learning Strategies in Drug Repositioning3
Recommendations for Bioinformatic Tools in lncRNA Research3
MFTP-Tool: A Wide & Deep Learning Framework for Multi-Functional Therapeutic Peptides Prediction3
Characterization, Potential Prognostic Value, and Immune Heterogeneity of Cathepsin C in Diffuse Glioma3
iProm-Yeast: Prediction Tool for Yeast Promoters Based on ML Stacking3
Identifying Biomarkers of Cisplatin Sensitivity in Non-Small Cell Lung Cancer via Comprehensive Integrative Analysis3
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