Current Bioinformatics

Papers
(The TQCC of Current Bioinformatics is 5. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Distance-based Support Vector Machine to Predict DNA N6- methyladenine Modification227
MRMD2.0: A Python Tool for Machine Learning with Feature Ranking and Reduction73
Identification of Drug-Disease Associations by Using Multiple Drug and Disease Networks51
MK-FSVM-SVDD: A Multiple Kernel-based Fuzzy SVM Model for Predicting DNA-binding Proteins via Support Vector Data Description47
Sequence-based Identification of Arginine Amidation Sites in Proteins Using Deep Representations of Proteins and PseAAC47
Review of the Applications of Deep Learning in Bioinformatics43
Sequence-based Identification of Allergen Proteins Developed by Integration of PseAAC and Statistical Moments via 5-Step Rule42
iATC-NFMLP: Identifying Classes of Anatomical Therapeutic Chemicals Based on Drug Networks, Fingerprints, and Multilayer Perceptron38
iTSP-PseAAC: Identifying Tumor Suppressor Proteins by Using Fully Connected Neural Network and PseAAC32
NPalmitoylDeep-PseAAC: A Predictor of N-Palmitoylation Sites in Proteins Using Deep Representations of Proteins and PseAAC via Modified 5-Steps Rule29
Identification of DNA-Binding Proteins via Hypergraph Based Laplacian Support Vector Machine28
Cervical Cancer Metastasis and Recurrence Risk Prediction Based on Deep Convolutional Neural Network28
Analysis of the Epigenetic Signature of Cell Reprogramming by Computational DNA Methylation Profiles23
Cancer Diagnosis and Disease Gene Identification via Statistical Machine Learning22
Modeling Hereditary Disease Behavior Using an Innovative Similarity Criterion and Ensemble Clustering21
Predicting LncRNA Subcellular Localization Using Unbalanced Pseudo-k Nucleotide Compositions21
Fusing Multiple Biological Networks to Effectively Predict miRNA-disease Associations21
An Ensembled SVM Based Approach for Predicting Adverse Drug Reactions20
Identification of Cancerlectins By Using Cascade Linear Discriminant Analysis and Optimal g-gap Tripeptide Composition19
iAnt: Combination of Convolutional Neural Network and Random Forest Models Using PSSM and BERT Features to Identify Antioxidant Proteins19
A Drug Target Interaction Prediction Based on LINE-RF Learning19
BDselect: A Package for k-mer Selection Based on the Binomial Distribution18
PMPTCE-HNEA: Predicting Metabolic Pathway Types of Chemicals and Enzymes with a Heterogeneous Network Embedding Algorithm17
Early Prediction of Malignant Mesothelioma: An Approach Towards Non-invasive Method16
Predicting lncRNA-protein Interactions by Machine Learning Methods: A Review15
PoGB-pred: Prediction of Antifreeze Proteins Sequences Using Amino Acid Composition with Feature Selection Followed by a Sequential-based Ensemble Approach15
Protein Secondary Structure Prediction Using Character Bi-gram Embedding and Bi-LSTM15
Drug Design and Disease Diagnosis: The Potential of Deep Learning Models in Biology14
Model with the GBDT for Colorectal Adenoma Risk Diagnosis13
Exploiting XG Boost for Predicting Enhancer-promoter Interactions12
A Deep Convolutional Neural Network to Improve the Prediction of Protein Secondary Structure12
Identifying Breast Cancer-induced Gene Perturbations and its Application in Guiding Drug Repurposing12
Enhanced Moth-flame Optimizer with Quasi-Reflection and Refraction Learning with Application to Image Segmentation and Medical Diagnosis12
Exploring miRNA Sponge Networks of Breast Cancer by Combining miRNA-disease-lncRNA and miRNA-target Networks12
Docking Techniques in Toxicology: An Overview12
PEPRF: Identification of Essential Proteins by Integrating Topological Features of PPI Network and Sequence-based Features via Random Forest11
Prediction of Microbe-drug Associations Based on Chemical Structures and the KATZ Measure11
Identification of Most Relevant Features for Classification of Francisella tularensis using Machine Learning11
An Efficient Multiple Kernel Support Vector Regression Model for Assessing Dry Weight of Hemodialysis Patients11
Application of Machine Learning in Animal Disease Analysis and Prediction11
Rosetta and the Journey to Predict Proteins’ Structures, 20 Years on11
Lung Cancer Classification and Gene Selection by Combining Affinity Propagation Clustering and Sparse Group Lasso11
Densely Dilated Spatial Pooling Convolutional Network Using Benign Loss Functions for Imbalanced Volumetric Prostate Segmentation10
A Review on the Methods of Peptide-MHC Binding Prediction10
Robust Transcription Factor Binding Site Prediction Using Deep Neural Networks10
HAMP: A Knowledge-base of Antimicrobial Peptides from Human Microbiome10
Colorectal Cancer Classification and Survival Analysis Based on an Integrated RNA and DNA Molecular Signature10
Prediction of Neddylation Sites Using the Composition of k-spaced Amino Acid Pairs and Fuzzy SVM10
Prediction of lncRNA-disease Associations Based on Robust Multi-label Learning10
Classification of Chromosomal DNA Sequences Using Hybrid Deep Learning Architectures10
A Combined Feature Screening Approach of Random Forest and Filterbased Methods for Ultra-high Dimensional Data10
A Novel Feature Selection Method Based on MRMR and Enhanced Flower Pollination Algorithm for High Dimensional Biomedical Data10
Deep Learning Model for Pathogen Classification Using Feature Fusion and Data Augmentation9
Prediction of Protein-protein Interactions in Arabidopsis thaliana Using Partial Training Samples in a Machine Learning Framework9
Identification of Potential Immune-related Biomarkers in Gastrointestinal Cancers9
Feature Selection Algorithm for High-dimensional Biomedical Data Using Information Gain and Improved Chemical Reaction Optimization9
The Regulation of Target Genes by Co-occupancy of Transcription Factors, c-Myc and Mxi1 with Max in the Mouse Cell Line9
A Machine Learning-based Self-risk Assessment Technique for Cervical Cancer9
TP-MV: Therapeutic Peptides Prediction by Multi-view Learning9
An Unbiased Predictive Model to Detect DNA Methylation Propensity of CpG Islands in the Human Genome9
A Review of Protein Inter-residue Distance Prediction9
Multivariate Information Fusion for Identifying Antifungal Peptides with Hilbert-Schmidt Independence Criterion9
Introduction of Advanced Methods for Structure-based Drug Discovery9
Complex Networks, Gene Expression and Cancer Complexity: A Brief Review of Methodology and Applications8
Development of Machine Learning Based Blood-brain Barrier Permeability Prediction Models Using Physicochemical Properties, MACCS and Substructure Fingerprints8
Whole-exome Sequencing of Tumor-only Samples Reveals the Association between Somatic Alterations and Clinical Features in Pancreatic Cancer8
CSBPI_Site: Multi-Information Sources of Features to RNA Binding Sites Prediction8
Identification of Potential Biomarkers in Stomach Adenocarcinoma using Machine Learning Approaches8
Bioluminescent Proteins Prediction with Voting Strategy8
Bioinformatics Analysis Reveals Functions of MicroRNAs in Rice Under the Drought Stress8
DeepFusion-RBP: Using Deep Learning to Fuse Multiple Features to Identify RNA-binding Protein Sequences8
Artificial Intelligence for Bioinformatics and Biomedicine8
Informative Gene Selection Based on Cost-Sensitive Fast Correlation- Based Filter Feature Selection7
A Computational Framework to Identify Cross Association Between Complex Disorders by Protein-protein Interaction Network Analysis7
PREDAIP: Computational Prediction and Analysis for Anti-inflammatory Peptide via a Hybrid Feature Selection Technique7
MDAPlatform: A Component-based Platform for Constructing and Assessing miRNA-disease Association Prediction Methods7
Integrative Analysis of miRNA-mediated Competing Endogenous RNA Network Reveals the lncRNAs-mRNAs Interaction in Glioblastoma Stem Cell Differentiation7
Analysis and Validation of Differentially Expressed MicroRNAs with their Target Genes Involved in GLP-1RA Facilitated Osteogenesis7
Identification of Disordered Regions of Intrinsically Disordered Proteins by Multi-features Fusion7
A Path-based Method for Identification of Protein Phenotypic Annotations7
Bioinformatics Analysis Identifies CPZ as a Tumor Immunology Biomarker for Gastric Cancer7
High-dimensional Causal Mediation Analysis with a Large Number of Mediators Clumping at Zero to Assess the Contribution of the Microbiome to the Risk of Bacterial Pathogen Colonization in Older Adults7
PsePSSM-based Prediction for the Protein-ATP Binding Sites7
Identification of Biomarkers and Functional Modules from Genomic Data in Stage-wise Breast Cancer7
NLP-MeTaxa: A Natural Language Processing Approach for Metagenomic Taxonomic Binning Based on Deep Learning6
Delineating Characteristic Sequence and Structural Features of Precursor and Mature Piwi-interacting RNAs of Epithelial Ovarian Cancer6
GASPIDs Versus Non-GASPIDs - Differentiation Based on Machine Learning Approach6
Development and Application of Artificial Intelligence Methods in Biological and Medical Data6
An Information Gain-based Method for Evaluating the Classification Power of Features Towards Identifying Enhancers6
High-density Genetic Linkage Map Construction in Sunflower (Helianthus annuus L.) Using SNP and SSR Markers6
Bioinformatics Analysis Reveals Centromere Protein K Can Serve as Potential Prognostic Biomarker and Therapeutic Target for Non-small Cell Lung Cancer6
DILI-Stk: An Ensemble Model for the Prediction of Drug-induced Liver Injury of Drug Candidates6
Screening of SLE-susceptible SNPs in One Chinese Family with Systemic Lupus Erythematosus6
m5C-HPromoter: An Ensemble Deep Learning Predictor for Identifying 5-methylcytosine Sites in Human Promoters6
Salient Features, Data and Algorithms for MicroRNA Screening from Plants: A Review on the Gains and Pitfalls of Machine Learning Techniques6
Application of Improved Support Vector Machine for Pulmonary Syndrome Exposure with Computer Vision Measures6
Intelligent Techniques Analysis for Glycosylation Site Prediction6
Feature-scML: An Open-source Python Package for the Feature Importance Visualization of Single-Cell Omics with Machine Learning6
Using the Chou’s Pseudo Component to Predict the ncRNA Locations Based on the Improved K-Nearest Neighbor (iKNN) Classifier6
Comprehensive Analysis Reveals GPRIN1 is a Potential Biomarker for Non-sm all Cell Lung Cancer6
An Algorithm to Improve the Speed of Semi and Non-specific Enzyme Searches in Proteomics6
The Prospect of Bioactive Peptide Research: A Review on Databases and Tools6
Classifying Cognitive Normal and Early Mild Cognitive Impairment of Alzheimer’s Disease by Applying Restricted Boltzmann Machine to fMRI Data5
Predicting Chromosome Flexibility from the Genomic Sequence Based on Deep Learning Neural Networks5
A Novel Hybrid Filter/Wrapper Feature Selection Approach Based on Improved Fruit Fly Optimization Algorithm and Chi-square Test for High Dimensional Microarray Data5
Prediction of Drug Pathway-based Disease Classes using Multiple Properties of Drugs5
A Review: Computational Approaches to Design sgRNA of CRISPR-Cas95
A Cross-entropy-based Method for Essential Protein Identification in Yeast Protein-protein Interaction Network5
A Constrained Probabilistic Matrix Decomposition Method for Predicting miRNA-disease Associations5
Survival Prediction of Esophageal Squamous Cell Carcinoma Based on the Prognostic Index and Sparrow Search Algorithm-Support Vector Machine5
ConvChrome: Predicting Gene Expression Based on Histone Modifications Using Deep Learning Techniques5
Genome-wide Characterization Deciphers Distinct Properties of Aquaporins in Six Phytophthora Species5
Ensemble Adaptive Total Variation Graph Regularized NMF for Singlecell RNA-seq Data Analysis5
Multi-label Learning for the Diagnosis of Cancer and Identification of Novel Biomarkers with High-throughput Omics5
Natural Scene Nutrition Information Acquisition and Analysis Based on Deep Learning5
Genome-wide Identification of Differently Expressed lncRNAs, mRNAs, and circRNAs in Patients with Osteoarthritis5
Incorporating K-mers Highly Correlated to Epigenetic Modifications for Bayesian Inference of Gene Interactions5
Comparisons of MicroRNA Set Enrichment Analysis Tools on Cancer De-regulated miRNAs from TCGA Expression Datasets5
Construction and Analysis of mRNA and lncRNA Regulatory Networks Reveal the Key Genes Associated with Prostate Cancer Related Fatigue During Localized Radiation Therapy5
Identification of Key mRNAs, miRNAs, and mRNA-miRNA Network Involved in Papillary Thyroid Carcinoma5
DSAE-Impute: Learning Discriminative Stacked Autoencoders for Imputing Single-cell RNA-seq Data5
Structural and Functional Analyses of SARS COV-2 RNA-dependent RNA Polymerase Protein and Complementary vs. Synthetic Drugs against COVID-19 and the Exploration of Binding Sites for Docking, Molecular5
LPLSG: Prediction of lncRNA-protein Interaction Based on Local Network Structure5
Recognition of CRISPR Off-Target Cleavage Sites with SeqGAN5
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