BMC Bioinformatics

Papers
(The TQCC of BMC Bioinformatics is 8. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Moment estimators of relatedness from low-depth whole-genome sequencing data1216
Hybrid generative adversarial network based on frequency and spatial domain for histopathological image synthesis847
Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signatures244
Multiview clustering of multi-omics data integration by using a penalty model187
Constructing multilayer PPI networks based on homologous proteins and integrating multiple PageRank to identify essential proteins157
ProToDeviseR: an automated protein topology scheme generator134
Cross-validation for training and testing co-occurrence network inference algorithms122
Identifying host-specific amino acid signatures for influenza A viruses using an adjusted entropy measure102
ReRF-Pred: predicting amyloidogenic regions of proteins based on their pseudo amino acid composition and tripeptide composition93
MRI-based brain tumor segmentation using FPGA-accelerated neural network88
Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data87
llperm: a permutation of regressor residuals test for microbiome data83
Statistical inference for a quasi birth–death model of RNA transcription76
Metadag: a web tool to generate and analyse metabolic networks74
CellMAP: an open-source software tool to batch-process cell topography and stiffness maps collected with an atomic force microscope71
Instance-level semantic segmentation of nuclei based on multimodal structure encoding64
A drug repositioning algorithm based on a deep autoencoder and adaptive fusion62
TockyPrep: data preprocessing methods for flow cytometric fluorescent timer analysis62
Overlapping group screening for detection of gene-environment interactions with application to TCGA high-dimensional survival genomic data58
StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens58
A global $$Anopheles\ gambiae$$ gene co-expression network constructed from hundreds of experimental conditions with missing values57
Identification and validation of tumor-infiltrating lymphocyte-related prognosis signature for predicting prognosis and immunotherapeutic response in bladder cancer55
bsgenova: an accurate, robust, and fast genotype caller for bisulfite-sequencing data55
Cancer survival prediction by learning comprehensive deep feature representation for multiple types of genetic data54
Improvement of variables interpretability in kernel PCA54
Machine learning techniques on homological persistence features for prostate cancer diagnosis51
nf-core/circrna: a portable workflow for the quantification, miRNA target prediction and differential expression analysis of circular RNAs50
Nonnegative matrix factorization analysis and multiple machine learning methods identified IL17C and ACOXL as novel diagnostic biomarkers for atherosclerosis49
SNARER: new molecular descriptors for SNARE proteins classification49
Comparative Assessment of Protein Large Language Models for Enzyme Commission Number Prediction49
Ab initio protein structure prediction: the necessary presence of external force field as it is delivered by Hsp40 chaperone49
Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning48
A new approach to describe the taxonomic structure of microbiome and its application to assess the relationship between microbial niches48
Efficient automatic 3D segmentation of cell nuclei for high-content screening48
Using flux theory in dynamic omics data sets to identify differentially changing signals using DPoP48
Readsynth: short-read simulation for consideration of composition-biases in reduced metagenome sequencing approaches47
Pre-capture multiplexing provides additional power to detect copy number variation in exome sequencing46
Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework43
Supervised promoter recognition: a benchmark framework43
Deep learning-based classification model for GPR151 activator activity prediction42
PSReliP: an integrated pipeline for analysis and visualization of population structure and relatedness based on genome-wide genetic variant data42
ELIMINATOR: essentiality analysis using multisystem networks and integer programming42
Gene co-expression network based on part mutual information for gene-to-gene relationship and gene-cancer correlation analysis42
A multimodal deep learning model to infer cell-type-specific functional gene networks42
Injectiondesign: web service of plate design with optimized stratified block randomization for modern GC/LC-MS-based sample preparation40
Proteome-wide analysis of Coxiella burnetii for conserved T-cell epitopes with presentation across multiple host species40
Joint deep learning for batch effect removal and classification toward MALDI MS based metabolomics40
LDAGM: prediction lncRNA-disease asociations by graph convolutional auto-encoder and multilayer perceptron based on multi-view heterogeneous networks39
Symptoms are known by their companies: towards association guided disease diagnosis assistant39
Shrinkage estimation of gene interaction networks in single-cell RNA sequencing data39
Prediction of HIV-1 protease cleavage site from octapeptide sequence information using selected classifiers and hybrid descriptors38
Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining37
LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification37
RankCompV3: a differential expression analysis algorithm based on relative expression orderings and applications in single-cell RNA transcriptomics37
Sketching and sampling approaches for fast and accurate long read classification37
Development and validation of a coagulation-related genes prognostic model for hepatocellular carcinoma37
Empowering the discovery of novel target-disease associations via machine learning approaches in the open targets platform37
ACO:lossless quality score compression based on adaptive coding order37
A systematic comparison of human mitochondrial genome assembly tools37
AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders36
PIKE-R2P: Protein–protein interaction network-based knowledge embedding with graph neural network for single-cell RNA to protein prediction36
MIPPIS: protein–protein interaction site prediction network with multi-information fusion35
Visualizing the knowledge structure and evolution of bioinformatics35
SumStatsRehab: an efficient algorithm for GWAS summary statistics assessment and restoration35
Scalable transcriptomics analysis with Dask: applications in data science and machine learning35
CirPred, the first structure modeling and linker design system for circularly permuted proteins35
B-LBConA: a medical entity disambiguation model based on Bio-LinkBERT and context-aware mechanism35
Novel drug-target interactions via link prediction and network embedding35
MDFGNN-SMMA: prediction of potential small molecule-miRNA associations based on multi-source data fusion and graph neural networks34
DeepASDPred: a CNN-LSTM-based deep learning method for Autism spectrum disorders risk RNA identification34
Concentration optimization of combinatorial drugs using Markov chain-based models34
Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology34
RUBic: rapid unsupervised biclustering34
BiomiX, a user-friendly bioinformatic tool for democratized analysis and integration of multiomics data33
Direct coupling analysis and the attention mechanism32
Conditional similarity triplets enable covariate-informed representations of single-cell data32
CoMIT: a bioinformatic pipeline for risk-based prediction of COVID-19 test inclusivity32
HGATLink: single-cell gene regulatory network inference via the fusion of heterogeneous graph attention networks and transformer31
Multioviz: an interactive platform for in silico perturbation and interrogation of gene regulatory networks31
CircNetVis: an interactive web application for visualizing interaction networks of circular RNAs31
A hybrid machine learning framework for functional annotation of mitochondrial glutathione transport and metabolism proteins in cancers31
RAE1 is a prognostic biomarker and is correlated with clinicopathological characteristics of patients with hepatocellular carcinoma31
Mathematical modelling of SigE regulatory network reveals new insights into bistability of mycobacterial stress response31
CrMP-Sol database: classification, bioinformatic analyses and comparison of cancer-related membrane proteins and their water-soluble variant designs31
Model selection and robust inference of mutational signatures using Negative Binomial non-negative matrix factorization30
Selection of optimal quantile protein biomarkers based on cell-level immunohistochemistry data30
Few-shot genes selection: subset of PAM50 genes for breast cancer subtypes classification30
A machine learning framework that integrates multi-omics data predicts cancer-related LncRNAs29
123VCF: an intuitive and efficient tool for filtering VCF files29
tRNA-derived fragments as novel potential biomarkers for relapsed/refractory multiple myeloma29
Evaluation of word embedding models to extract and predict surgical data in breast cancer29
Hierarchical representation for PPI sites prediction29
The metabolomics workbench file status website: a metadata repository promoting FAIR principles of metabolomics data28
Learning self-supervised molecular representations for drug–drug interaction prediction28
Statistical modeling to quantify the uncertainty of FoldX-predicted protein folding and binding stability28
PredAOT: a computational framework for prediction of acute oral toxicity based on multiple random forest models28
SpotitPy: a semi-automated tool for object-based co-localization of fluorescent labels in microscopy images28
Dose–response prediction for in-vitro drug combination datasets: a probabilistic approach28
SVcnn: an accurate deep learning-based method for detecting structural variation based on long-read data27
Mora: abundance aware metagenomic read re-assignment for disentangling similar strains27
Sparse sliced inverse regression for high dimensional data analysis27
Establishment and validation of a predictive model of preeclampsia based on transcriptional signatures of 43 genes in decidua basalis and peripheral blood26
Cellstitch: 3D cellular anisotropic image segmentation via optimal transport26
PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains26
scEGOT: single-cell trajectory inference framework based on entropic Gaussian mixture optimal transport26
Cellograph: a semi-supervised approach to analyzing multi-condition single-cell RNA-sequencing data using graph neural networks26
Amplidiff: an optimized amplicon sequencing approach to estimating lineage abundances in viral metagenomes26
A comparison of embedding aggregation strategies in drug–target interaction prediction26
PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach26
Hierarchical shared transfer learning for biomedical named entity recognition26
Dyport: dynamic importance-based biomedical hypothesis generation benchmarking technique26
SpinSPJ: a novel NMR scripting system to implement artificial intelligence and advanced applications25
Lantern: an integrative repository of functional annotations for lncRNAs in the human genome25
Volumetric macromolecule identification in cryo-electron tomograms using capsule networks25
A protein network refinement method based on module discovery and biological information25
Correction: Enhancing SNV identification in whole-genome sequencing data through the incorporation of known genetic variants into the minimap2 index25
Explainable deep drug–target representations for binding affinity prediction25
Modeling relaxation experiments with a mechanistic model of gene expression25
Development of the International Classification of Diseases Ontology (ICDO) and its application for COVID-19 diagnostic data analysis25
Using dual-network-analyser for communities detecting in dual networks25
EnsembleSplice: ensemble deep learning model for splice site prediction24
Atlas of regulated target genes of transcription factors (ART-TF) in human ES cells24
Implementation of machine learning in the clinic: challenges and lessons in prospective deployment from the System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT) randomized control24
SCOUR: a stepwise machine learning framework for predicting metabolite-dependent regulatory interactions24
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis24
REDalign: accurate RNA structural alignment using residual encoder-decoder network24
MetaCRS: unsupervised clustering of contigs with the recursive strategy of reducing metagenomic dataset’s complexity24
Rapid bacterial identification through volatile organic compound analysis and deep learning24
RNA-combine: a toolkit for comprehensive analyses on transcriptome data from different sequencing platforms24
Impact of adaptive filtering on power and false discovery rate in RNA-seq experiments24
Correction to: Auto3DCryoMap: an automated particle alignment approach for 3D cryo-EM density map reconstruction23
ChiMera: an easy to use pipeline for bacterial genome based metabolic network reconstruction, evaluation and visualization23
Supervised topological data analysis for MALDI mass spectrometry imaging applications23
CMIC: predicting DNA methylation inheritance of CpG islands with embedding vectors of variable-length k-mers23
A unified framework for the integration of multiple hierarchical clusterings or networks from multi-source data23
HAVoC, a bioinformatic pipeline for reference-based consensus assembly and lineage assignment for SARS-CoV-2 sequences23
Early effects of gene duplication on the robustness and phenotypic variability of gene regulatory networks23
Designing and delivering bioinformatics project-based learning in East Africa23
A mixed-effects stochastic model reveals clonal dominance in gene therapy safety studies23
ERStruct: a fast Python package for inferring the number of top principal components from whole genome sequencing data23
Predicting the pathogenicity of bacterial genomes using widely spread protein families22
A Poisson reduced-rank regression model for association mapping in sequencing data22
EasySMPC: a simple but powerful no-code tool for practical secure multiparty computation22
Distance correlation application to gene co-expression network analysis22
Correction to: An introduction to new robust linear and monotonic correlation coefficients22
Exploration of chemical space with partial labeled noisy student self-training and self-supervised graph embedding22
From a genome assembly to full regulatory network prediction: the case study of Rhodotorula toruloides putative Haa1-regulon22
Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach21
Predictive modeling of gene expression regulation21
Multivariate estimation of factor structures of complex traits using SNP-based genomic relationships21
eSPRESSO: topological clustering of single-cell transcriptomics data to reveal informative genes for spatio–temporal architectures of cells21
SALON ontology for the formal description of sequence alignments21
gcMECM: graph clustering of mutual exclusivity of cancer mutations21
Acute stress reduces population-level metabolic and proteomic variation21
Fast and accurate genome-wide predictions and structural modeling of protein–protein interactions using Galaxy21
Efficient design of synthetic gene circuits under cell-to-cell variability21
airpg: automatically accessing the inverted repeats of archived plastid genomes21
A risk factor attention-based model for cardiovascular disease prediction21
Graph regularized non-negative matrix factorization with $$L_{2,1}$$ norm regularization terms for drug–target interactions prediction21
Deep learning and multi-omics approach to predict drug responses in cancer20
GENTLE: a novel bioinformatics tool for generating features and building classifiers from T cell repertoire cancer data20
A new method for exploring gene–gene and gene–environment interactions in GWAS with tree ensemble methods and SHAP values20
Sparse clusterability: testing for cluster structure in high dimensions20
Predicting biological pathways of chemical compounds with a profile-inspired approach20
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques20
kegg_pull: a software package for the RESTful access and pulling from the Kyoto Encyclopedia of Gene and Genomes20
EG-TransUNet: a transformer-based U-Net with enhanced and guided models for biomedical image segmentation20
Physcraper: a Python package for continually updated phylogenetic trees using the Open Tree of Life20
KATZNCP: a miRNA–disease association prediction model integrating KATZ algorithm and network consistency projection20
PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation20
Integrated analysis of the voltage-gated potassium channel-associated gene KCNH2 across cancers20
PIGNON: a protein–protein interaction-guided functional enrichment analysis for quantitative proteomics20
In silico drug repositioning using deep learning and comprehensive similarity measures20
Predicting weighted unobserved nodes in a regulatory network using answer set programming19
Reply: Correspondence on NanoVar’s performance outlined by Jiang T. et al. in ‘Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation’19
MTG-Link: leveraging barcode information from linked-reads to assemble specific loci19
CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques19
Normalization of gene expression data revisited: the three viewpoints of the transcriptome in human skeletal muscle undergoing load-induced hypertrophy and why they matter19
DeepNetBim: deep learning model for predicting HLA-epitope interactions based on network analysis by harnessing binding and immunogenicity information19
Velo-Predictor: an ensemble learning pipeline for RNA velocity prediction19
Optimizing biomedical information retrieval with a keyword frequency-driven prompt enhancement strategy19
Prediction of the effects of small molecules on the gut microbiome using machine learning method integrating with optimal molecular features19
Tidyproteomics: an open-source R package and data object for quantitative proteomics post analysis and visualization19
Correspondence on NanoVar’s performance outlined by Jiang T. et al. in “Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation”19
rKOMICS: an R package for processing mitochondrial minicircle assemblies in population-scale genome projects19
xenoGI 3: using the DTLOR model to reconstruct the evolution of gene families in clades of microbes19
Understanding and mathematical modelling of cellular resource allocation in microorganisms: a comparative synthesis18
DI2: prior-free and multi-item discretization of biological data and its applications18
Functional glyco-metagenomics elucidates the role of glycan-related genes in environments18
Algorithmic improvements for discovery of germline copy number variants in next-generation sequencing data18
Benchmarking imputation methods for network inference using a novel method of synthetic scRNA-seq data generation18
Quantitative prediction model for affinity of drug–target interactions based on molecular vibrations and overall system of ligand-receptor18
nPoRe: n-polymer realigner for improved pileup-based variant calling18
Estimating colocalization probability from limited summary statistics18
Integrated structure-based protein interface prediction18
Abstraction-based segmental simulation of reaction networks using adaptive memoization18
Mabs, a suite of tools for gene-informed genome assembly18
CamPype: an open-source workflow for automated bacterial whole-genome sequencing analysis focused on Campylobacter18
Pan-genome de Bruijn graph using the bidirectional FM-index17
A novel nonparametric computational strategy for identifying differential methylation regions17
Clinlabomics: leveraging clinical laboratory data by data mining strategies17
Correction: Reverse engineering environmental metatranscriptomes clarifies best practices for eukaryotic assembly17
ILIAD: a suite of automated Snakemake workflows for processing genomic data for downstream applications17
Tpgen: a language model for stable protein design with a specific topology structure17
Examination of blood samples using deep learning and mobile microscopy17
adabmDCA: adaptive Boltzmann machine learning for biological sequences17
InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation17
IgMAT: immunoglobulin sequence multi-species annotation tool for any species including those with incomplete antibody annotation or unusual characteristics17
IndelsRNAmute: predicting deleterious multiple point substitutions and indels mutations17
Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data17
Predicting lncRNA–protein interactions through deep learning framework employing multiple features and random forest algorithm17
Correction: Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled data17
SEMplMe: a tool for integrating DNA methylation effects in transcription factor binding affinity predictions17
CysPresso: a classification model utilizing deep learning protein representations to predict recombinant expression of cysteine-dense peptides17
Employing phylogenetic tree shape statistics to resolve the underlying host population structure17
A convolutional neural network-based regression model to infer the epigenetic crosstalk responsible for CG methylation patterns17
Grace-AKO: a novel and stable knockoff filter for variable selection incorporating gene network structures17
Ideal adaptive control in biological systems: an analysis of $$\mathbb {P}$$-invariance and dynamical compensation properties17
PxBLAT: an efficient python binding library for BLAT16
RNA-clique: a method for computing genetic distances from RNA-seq data16
A comprehensive database for integrated analysis of omics data in autoimmune diseases16
MetaTron: advancing biomedical annotation empowering relation annotation and collaboration16
gGATLDA: lncRNA-disease association prediction based on graph-level graph attention network16
CrisprVi: a software for visualizing and analyzing CRISPR sequences of prokaryotes16
Correction to: Avian Immunome DB: an example of a user‑friendly interface for extracting genetic information16
Benchmarking robustness of deep neural networks in semantic segmentation of fluorescence microscopy images16
Transcript annotation tool (TransAT): an R package for retrieving annotations for transcript-specific genetic variants16
Identifying biomarkers for breast cancer by gene regulatory network rewiring16
LinkedImm: a linked data graph database for integrating immunological data16
DeSP: a systematic DNA storage error simulation pipeline16
QuickPed: an online tool for drawing pedigrees and analysing relatedness16
Mixture density networks for the indirect estimation of reference intervals16
Nfinder: automatic inference of cell neighborhood in 2D and 3D using nuclear markers16
A generalized covariate-adjusted top-scoring pair algorithm with applications to diabetic kidney disease stage classification in the Chronic Renal Insufficiency Cohort (CRIC) Study16
DiviK: divisive intelligent K-means for hands-free unsupervised clustering in big biological data16
Multiblock variable influence on orthogonal projections (MB-VIOP) for enhanced interpretation of total, global, local and unique variations in OnPLS models15
Allele-specific binding (ASB) analyzer for annotation of allele-specific binding SNPs15
End-to-end learning for compound activity prediction based on binding pocket information15
Hitac: a hierarchical taxonomic classifier for fungal ITS sequences compatible with QIIME215
Completing a genomic characterisation of microscopic tumour samples with copy number15
Critical assessment of on-premise approaches to scalable genome analysis15
Reverse engineering environmental metatranscriptomes clarifies best practices for eukaryotic assembly15
Classifying microscopic images as acute lymphoblastic leukemia by Resnet ensemble model and Taguchi method15
Discovery of moiety preference by Shapley value in protein kinase family using random forest models15
SVDNVLDA: predicting lncRNA-disease associations by Singular Value Decomposition and node2vec15
Comprehensive analysis of KLF2 as a prognostic biomarker associated with fibrosis and immune infiltration in advanced hepatocellular carcinoma15
scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data15
Enabling personalised disease diagnosis by combining a patient’s time-specific gene expression profile with a biomedical knowledge base15
scDIOR: single cell RNA-seq data IO software15
PhytoPipe: a phytosanitary pipeline for plant pathogen detection and diagnosis using RNA-seq data15
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