BMC Bioinformatics

Papers
(The median citation count of BMC 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Nonnegative matrix factorization analysis and multiple machine learning methods identified IL17C and ACOXL as novel diagnostic biomarkers for atherosclerosis1455
A novel nonparametric computational strategy for identifying differential methylation regions1046
REDalign: accurate RNA structural alignment using residual encoder-decoder network300
Linear programming based gene expression model (LPM-GEM) predicts the carbon source for Bacillus subtilis246
Employing phylogenetic tree shape statistics to resolve the underlying host population structure198
Predictive modeling of gene expression regulation148
Grace-AKO: a novel and stable knockoff filter for variable selection incorporating gene network structures130
SALON ontology for the formal description of sequence alignments103
Locality-sensitive hashing enables efficient and scalable signal classification in high-throughput mass spectrometry raw data93
Abstraction-based segmental simulation of reaction networks using adaptive memoization84
Multivariate estimation of factor structures of complex traits using SNP-based genomic relationships83
Correction to: Avian Immunome DB: an example of a user‑friendly interface for extracting genetic information77
airpg: automatically accessing the inverted repeats of archived plastid genomes77
A drug repositioning algorithm based on a deep autoencoder and adaptive fusion76
Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug–target interactions prediction73
Mathematical modelling of SigE regulatory network reveals new insights into bistability of mycobacterial stress response70
Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signatures68
Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction67
Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology65
CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice62
CMIC: predicting DNA methylation inheritance of CpG islands with embedding vectors of variable-length k-mers60
Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data59
Prediction of hot spots in protein–DNA binding interfaces based on discrete wavelet transform and wavelet packet transform59
Integrated analysis of the voltage-gated potassium channel-associated gene KCNH2 across cancers57
PEPMatch: a tool to identify short peptide sequence matches in large sets of proteins55
HPC-T-Assembly: a pipeline for de novo transcriptome assembly of large multi-specie datasets54
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis53
Multilayer network alignment based on topological assessment via embeddings52
StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens52
Combining denoising of RNA-seq data and flux balance analysis for cluster analysis of single cells51
CircWalk: a novel approach to predict CircRNA-disease association based on heterogeneous network representation learning50
rKOMICS: an R package for processing mitochondrial minicircle assemblies in population-scale genome projects50
Enabling personalised disease diagnosis by combining a patient’s time-specific gene expression profile with a biomedical knowledge base50
Hitac: a hierarchical taxonomic classifier for fungal ITS sequences compatible with QIIME250
Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework49
A gene based combination test using GWAS summary data47
LDAGM: prediction lncRNA-disease asociations by graph convolutional auto-encoder and multilayer perceptron based on multi-view heterogeneous networks47
Examination of blood samples using deep learning and mobile microscopy46
SumStatsRehab: an efficient algorithm for GWAS summary statistics assessment and restoration46
Prediction of HIV-1 protease cleavage site from octapeptide sequence information using selected classifiers and hybrid descriptors45
Empowering the discovery of novel target-disease associations via machine learning approaches in the open targets platform45
Mabs, a suite of tools for gene-informed genome assembly44
From a genome assembly to full regulatory network prediction: the case study of Rhodotorula toruloides putative Haa1-regulon44
Combining whole genome sequencing and non-adaptive group testing for large-scale ethnicity screens43
SVDNVLDA: predicting lncRNA-disease associations by Singular Value Decomposition and node2vec43
Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data42
Deep learning and multi-omics approach to predict drug responses in cancer42
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 control42
Secondary structure specific simpler prediction models for protein backbone angles41
Propensity scores as a novel method to guide sample allocation and minimize batch effects during the design of high throughput experiments41
Identification of cuproptosis-related lncRNAs to predict prognosis and immune infiltration characteristics in alimentary tract malignancies40
A novel automated image analysis pipeline for quantifying morphological changes to the endoplasmic reticulum in cultured human cells40
‘gitana’ (phyloGenetic Imaging Tool for Adjusting Nodes and other Arrangements), a tool for plotting phylogenetic trees into ready-to-publish figures40
Blastn2dotplots: multiple dot-plot visualizer for genome comparisons38
MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction38
qRAT: an R-based stand-alone application for relative expression analysis of RT-qPCR data37
Semantic interoperability: ontological unpacking of a viral conceptual model37
GraphKM: machine and deep learning for KM prediction of wildtype and mutant enzymes37
A deep learning approach to predict inter-omics interactions in multi-layer networks37
iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects36
BADASS: BActeriocin-Diversity ASsessment Software36
Fasta2Structure: a user-friendly tool for converting multiple aligned FASTA files to STRUCTURE format36
False discovery rate estimation using candidate peptides for each spectrum36
Ant colony optimization for the identification of dysregulated gene subnetworks from expression data35
CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity35
MTAGCN: predicting miRNA-target associations in Camellia sinensis var. assamica through graph convolution neural network34
LinG3D: visualizing the spatio-temporal dynamics of clonal evolution34
NODeJ: an ImageJ plugin for 3D segmentation of nuclear objects34
INFLECT: an R-package for cytometry cluster evaluation using marker modality33
VirPool: model-based estimation of SARS-CoV-2 variant proportions in wastewater samples33
Correction: Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients32
Identification of fish species through tRNA-based primer design32
A targeted solution for estimating the cell-type composition of bulk samples32
Impaired time-distance reconfiguration patterns in Alzheimer's disease: a dynamic functional connectivity study with 809 individuals from 7 sites32
A prefix and attention map discrimination fusion guided attention for biomedical named entity recognition31
LincRNA ZNF529-AS1 inhibits hepatocellular carcinoma via FBXO31 and predicts the prognosis of hepatocellular carcinoma patients31
Gene expression variability across cells and species shapes the relationship between renal resident macrophages and infiltrated macrophages31
SVhound: detection of regions that harbor yet undetected structural variation31
Using empirical biological knowledge to infer regulatory networks from multi-omics data31
DiseaseNet: a transfer learning approach to noncommunicable disease classification31
A-Prot: protein structure modeling using MSA transformer31
EZH2 as a prognostic-related biomarker in lung adenocarcinoma correlating with cell cycle and immune infiltrates30
PreAcrs: a machine learning framework for identifying anti-CRISPR proteins30
DTIP-WINDGRU a novel drug-target interaction prediction with wind-enhanced gated recurrent unit30
Assessment of deep learning and transfer learning for cancer prediction based on gene expression data29
CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species29
Can large language models understand molecules?29
Evaluation of tree-based statistical learning methods for constructing genetic risk scores29
DeepCAC: a deep learning approach on DNA transcription factors classification based on multi-head self-attention and concatenate convolutional neural network29
An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images28
Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions28
Optimal construction of a functional interaction network from pooled library CRISPR fitness screens28
CCL-DTI: contributing the contrastive loss in drug–target interaction prediction28
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT28
Web-based LinRegPCR: application for the visualization and analysis of (RT)-qPCR amplification and melting data28
A learning-based method to predict LncRNA-disease associations by combining CNN and ELM28
MultiToxPred 1.0: a novel comprehensive tool for predicting 27 classes of protein toxins using an ensemble machine learning approach28
A graph neural network framework for mapping histological topology in oral mucosal tissue28
UniAMP: enhancing AMP prediction using deep neural networks with inferred information of peptides28
HGGA: hierarchical guided genome assembler28
The evaluation of transcription factor binding site prediction tools in human and Arabidopsis genomes27
Fractal feature selection model for enhancing high-dimensional biological problems27
PMFFRC: a large-scale genomic short reads compression optimizer via memory modeling and redundant clustering27
Classification of age-related macular degeneration using convolutional-neural-network-based transfer learning27
Deafness gene screening based on a multilevel cascaded BPNN model27
Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer27
MAC-ErrorReads: machine learning-assisted classifier for filtering erroneous NGS reads27
Prediction of mutation-induced protein stability changes based on the geometric representations learned by a self-supervised method27
Investigation of improving the pre-training and fine-tuning of BERT model for biomedical relation extraction27
Integrated approach to generate artificial samples with low tumor fraction for somatic variant calling benchmarking27
Predicting subcellular location of protein with evolution information and sequence-based deep learning26
Piikun: an information theoretic toolkit for analysis and visualization of species delimitation metric space26
A clinical knowledge graph-based framework to prioritize candidate genes for facilitating diagnosis of Mendelian diseases and rare genetic conditions26
Informeasure: an R/bioconductor package for quantifying nonlinear dependence between variables in biological networks from an information theory perspective26
Conformal novelty detection for multiple metabolic networks26
MR-GGI: accurate inference of gene–gene interactions using Mendelian randomization26
A seed expansion-based method to identify essential proteins by integrating protein–protein interaction sub-networks and multiple biological characteristics26
Inference of single-cell network using mutual information for scRNA-seq data analysis26
The prognostic value of autophagy related genes with potential protective function in Ewing sarcoma26
A clustering procedure for three-way RNA sequencing data using data transformations and matrix-variate Gaussian mixture models26
In-vitro validated methods for encoding digital data in deoxyribonucleic acid (DNA)25
ORFeus: a computational method to detect programmed ribosomal frameshifts and other non-canonical translation events25
Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models25
PyToxo: a Python tool for calculating penetrance tables of high-order epistasis models25
FragGeneScanRs: faster gene prediction for short reads24
Development of a TSR-based method for understanding structural relationships of cofactors and local environments in photosystem I24
A hybrid algorithm for clinical decision support in precision medicine based on machine learning24
Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method24
refMLST: reference-based multilocus sequence typing enables universal bacterial typing24
Reducing Boolean networks with backward equivalence24
MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules24
Probabilistic quotient’s work and pharmacokinetics’ contribution: countering size effect in metabolic time series measurements24
Single-cell spatial explorer: easy exploration of spatial and multimodal transcriptomics24
Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts23
A tensor-based bi-random walks model for protein function prediction23
Statistical methods and resources for biomarker discovery using metabolomics23
SaeGraphDTI: drug–target interaction prediction based on sequence attribute extraction and graph neural network23
BPFun: a deep learning framework for bioactive peptide function prediction using multi-label strategy by transformer-driven and sequence rich intrinsic information23
Designing multi-epitope vaccine against important colorectal cancer (CRC) associated pathogens based on immunoinformatics approach23
A robust and accurate single-cell data trajectory inference method using ensemble pseudotime23
Immunoinformatics design of multi-epitope vaccine using OmpA, OmpD and enterotoxin against non-typhoidal salmonellosis23
CircPrimer 2.0: a software for annotating circRNAs and predicting translation potential of circRNAs23
Combining single-cell ATAC and RNA sequencing for supervised cell annotation22
A novel bi-directional heterogeneous network selection method for disease and microbial association prediction22
Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins22
SwarmTCR: a computational approach to predict the specificity of T cell receptors22
Integrative analysis of TP53 mutations in lung adenocarcinoma for immunotherapies and prognosis22
Extract antibody and antigen names from biomedical literature22
A new biomarker panel of ultraconserved long non-coding RNAs for bladder cancer prognosis by a machine learning based methodology22
GSAMDA: a computational model for predicting potential microbe–drug associations based on graph attention network and sparse autoencoder22
A two-stage hybrid biomarker selection method based on ensemble filter and binary differential evolution incorporating binary African vultures optimization22
Protein complexes detection based on node local properties and gene expression in PPI weighted networks22
PerFSeeB: designing long high-weight single spaced seeds for full sensitivity alignment with a given number of mismatches22
Comparative analysis of aneurysm subtypes associated genes based on protein–protein interaction network21
DiCleave: a deep learning model for predicting human Dicer cleavage sites21
Closha 2.0: a bio-workflow design system for massive genome data analysis on high performance cluster infrastructure21
Rendering protein mutation movies with MutAmore21
A consensus-based ensemble approach to improve transcriptome assembly21
Data-driven discovery of chemotactic migration of bacteria via coordinate-invariant machine learning21
LPMX: a pure rootless composable container system21
scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder21
Wavelet Screening: a novel approach to analyzing GWAS data21
LOCC: a novel visualization and scoring of cutoffs for continuous variables with hepatocellular carcinoma prognosis as an example21
Using entropy-driven amplifier circuit response to build nonlinear model under the influence of Lévy jump21
Ion-pumping microbial rhodopsin protein classification by machine learning approach21
Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks20
Dual-approach co-expression analysis framework (D-CAF) enables identification of novel circadian co-regulation from multi-omic timeseries data20
Comparison of sequencing data processing pipelines and application to underrepresented African human populations20
Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia20
Taxanorm: a novel taxa-specific normalization approach for microbiome data20
Goistrat: gene-of-interest-based sample stratification for the evaluation of functional differences20
Impact of gene annotation choice on the quantification of RNA-seq data20
GVC: efficient random access compression for gene sequence variations20
Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review19
Comprehensive analysis of cuproptosis-related lncRNAs in immune infiltration and prognosis in hepatocellular carcinoma19
An approach for proteins and their encoding genes synonyms integration based on protein ontology19
ProTaxoVis—protein taxonomic visualisation of presence19
A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction19
Image-centric compression of protein structures improves space savings19
Robust classification of wound healing stages in both mice and humans for acute and burn wounds based on transcriptomic data19
DENSEN: a convolutional neural network for estimating chronological ages from panoramic radiographs19
LaRA 2: parallel and vectorized program for sequence–structure alignment of RNA sequences19
Deep learning-enabled natural language processing to identify directional pharmacokinetic drug–drug interactions19
Identification of biomarkers predictive of metastasis development in early-stage colorectal cancer using network-based regularization19
MetageneCluster: a Python package for filtering conflicting signal trends in metagene plots18
Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning18
Differential network connectivity analysis for microbiome data adjusted for clinical covariates using jackknife pseudo-values18
A multilayer dynamic perturbation analysis method for predicting ligand–protein interactions18
ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering18
GKLOMLI: a link prediction model for inferring miRNA–lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm18
Prediction of diabetes disease using an ensemble of machine learning multi-classifier models18
PhenoExam: gene set analyses through integration of different phenotype databases18
DELEAT: gene essentiality prediction and deletion design for bacterial genome reduction18
Comprior: facilitating the implementation and automated benchmarking of prior knowledge-based feature selection approaches on gene expression data sets18
Comparing neural models for nested and overlapping biomedical event detection18
Detection of cell markers from single cell RNA-seq with sc2marker18
SEMgsa: topology-based pathway enrichment analysis with structural equation models18
Finding functional associations between prokaryotic virus orthologous groups: a proof of concept18
Optimize data-driven multi-agent simulation for COVID-19 transmission18
shinyCurves, a shiny web application to analyse multisource qPCR amplification data: a COVID-19 case study17
CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction17
Correction to: ncDLRES: a novel method for non‑coding RNAs family prediction based on dynamic LSTM and ResNet17
ENTAIL: yEt aNoTher amyloid fIbrils cLassifier17
MFCADTI: improving drug-target interaction prediction by integrating multiple feature through cross attention mechanism17
FindCSV: a long-read based method for detecting complex structural variations17
Correction: On Bayesian modeling of censored data in JAGS17
ForestSubtype: a cancer subtype identifying approach based on high-dimensional genomic data and a parallel random forest17
LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA–protein interaction identification17
VEBA: a modular end-to-end suite for in silico recovery, clustering, and analysis of prokaryotic, microeukaryotic, and viral genomes from metagenomes17
Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types17
Correction to: Mining a stroke knowledge graph from literature17
Optimizing diabetes classification with a machine learning-based framework17
ANINet: a deep neural network for skull ancestry estimation17
Constrained Fourier estimation of short-term time-series gene expression data reduces noise and improves clustering and gene regulatory network predictions16
Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery16
TFTenricher: a python toolbox for annotation enrichment analysis of transcription factor target genes16
Multi-objective data enhancement for deep learning-based ultrasound analysis16
CNVizard—a lightweight streamlit application for an interactive analysis of copy number variants16
An FPGA-based hardware accelerator supporting sensitive sequence homology filtering with profile hidden Markov models16
Child-Sum EATree-LSTMs: enhanced attentive Child-Sum Tree-LSTMs for biomedical event extraction16
MSA: reproducible mutational signature attribution with confidence based on simulations16
Metacells untangle large and complex single-cell transcriptome networks16
IMSE: interaction information attention and molecular structure based drug drug interaction extraction16
Prediction of vancomycin initial dosage using artificial intelligence models applying ensemble strategy16
Fast and sensitive validation of fusion transcripts in whole-genome sequencing data16
PRED-LD: efficient imputation of GWAS summary statistics16
AMRViz enables seamless genomics analysis and visualization of antimicrobial resistance16
ProtPlat: an efficient pre-training platform for protein classification based on FastText16
SNPxE: SNP-environment interaction pattern identifier16
M01 tool: an automated, comprehensive computational tool for generating small molecule-peptide hybrids and docking them into curated protein structures16
Clustering biological sequences with dynamic sequence similarity threshold16
The effect of data balancing approaches on the prediction of metabolic syndrome using non-invasive parameters based on random forest16
BioEGRE: a linguistic topology enhanced method for biomedical relation extraction based on BioELECTRA and graph pointer neural network16
An iteration model for identifying essential proteins by combining comprehensive PPI network with biological information16
Genealyzer: web application for the analysis and comparison of gene expression data15
Automatic generation of pseudoknotted RNAs taxonomy15
Automatic block-wise genotype-phenotype association detection based on hidden Markov model15
HGDTI: predicting drug–target interaction by using information aggregation based on heterogeneous graph neural network15
JCBIE: a joint continual learning neural network for biomedical information extraction15
Boosting variant-calling performance with multi-platform sequencing data using Clair3-MP15
HPC-T-Annotator: an HPC tool for de novo transcriptome assembly annotation15
circGPA: circRNA functional annotation based on probability-generating functions15
A voting-based machine learning approach for classifying biological and clinical datasets15
GenErode: a bioinformatics pipeline to investigate genome erosion in endangered and extinct species15
RSNET: inferring gene regulatory networks by a redundancy silencing and network enhancement technique15
Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction15
Using individual barcodes to increase quantification power of massively parallel reporter assays15
CRPGCN: predicting circRNA-disease associations using graph convolutional network based on heterogeneous network15
C-ziptf: stable tensor factorization for zero-inflated multi-dimensional genomics data15
Phylo-rs: an extensible phylogenetic analysis library in rust15
0.079905033111572