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 2021-05-01 to 2025-05-01.)
ArticleCitations
Nonnegative matrix factorization analysis and multiple machine learning methods identified IL17C and ACOXL as novel diagnostic biomarkers for atherosclerosis1276
A novel nonparametric computational strategy for identifying differential methylation regions890
Examination of blood samples using deep learning and mobile microscopy258
Hitac: a hierarchical taxonomic classifier for fungal ITS sequences compatible with QIIME2203
REDalign: accurate RNA structural alignment using residual encoder-decoder network164
Linear programming based gene expression model (LPM-GEM) predicts the carbon source for Bacillus subtilis135
Employing phylogenetic tree shape statistics to resolve the underlying host population structure123
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis97
Predictive modeling of gene expression regulation90
CMIC: predicting DNA methylation inheritance of CpG islands with embedding vectors of variable-length k-mers88
Grace-AKO: a novel and stable knockoff filter for variable selection incorporating gene network structures76
Enabling personalised disease diagnosis by combining a patient’s time-specific gene expression profile with a biomedical knowledge base74
SALON ontology for the formal description of sequence alignments69
Locality-sensitive hashing enables efficient and scalable signal classification in high-throughput mass spectrometry raw data67
Abstraction-based segmental simulation of reaction networks using adaptive memoization63
Multivariate estimation of factor structures of complex traits using SNP-based genomic relationships60
airpg: automatically accessing the inverted repeats of archived plastid genomes60
From a genome assembly to full regulatory network prediction: the case study of Rhodotorula toruloides putative Haa1-regulon59
rKOMICS: an R package for processing mitochondrial minicircle assemblies in population-scale genome projects58
Correction to: Avian Immunome DB: an example of a user‑friendly interface for extracting genetic information57
Mabs, a suite of tools for gene-informed genome assembly54
A gene based combination test using GWAS summary data54
SumStatsRehab: an efficient algorithm for GWAS summary statistics assessment and restoration53
A drug repositioning algorithm based on a deep autoencoder and adaptive fusion53
Prediction of HIV-1 protease cleavage site from octapeptide sequence information using selected classifiers and hybrid descriptors53
Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug–target interactions prediction52
Mathematical modelling of SigE regulatory network reveals new insights into bistability of mycobacterial stress response49
Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signatures49
Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction48
Combining denoising of RNA-seq data and flux balance analysis for cluster analysis of single cells48
Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology48
Prediction of hot spots in protein–DNA binding interfaces based on discrete wavelet transform and wavelet packet transform47
PEPMatch: a tool to identify short peptide sequence matches in large sets of proteins47
CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice47
Integrated analysis of the voltage-gated potassium channel-associated gene KCNH2 across cancers46
PIGNON: a protein–protein interaction-guided functional enrichment analysis for quantitative proteomics45
Deep learning and multi-omics approach to predict drug responses in cancer44
LDAGM: prediction lncRNA-disease asociations by graph convolutional auto-encoder and multilayer perceptron based on multi-view heterogeneous networks44
Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data44
Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images43
SVDNVLDA: predicting lncRNA-disease associations by Singular Value Decomposition and node2vec43
Empowering the discovery of novel target-disease associations via machine learning approaches in the open targets platform41
Multilayer network alignment based on topological assessment via embeddings41
CircWalk: a novel approach to predict CircRNA-disease association based on heterogeneous network representation learning41
HPC-T-Assembly: a pipeline for de novo transcriptome assembly of large multi-specie datasets40
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package40
StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens39
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 control39
DiseaseNet: a transfer learning approach to noncommunicable disease classification38
DeepCAC: a deep learning approach on DNA transcription factors classification based on multi-head self-attention and concatenate convolutional neural network38
GraphKM: machine and deep learning for KM prediction of wildtype and mutant enzymes38
LincRNA ZNF529-AS1 inhibits hepatocellular carcinoma via FBXO31 and predicts the prognosis of hepatocellular carcinoma patients38
Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework38
An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images38
Improving the recall of biomedical named entity recognition with label re-correction and knowledge distillation38
Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis38
EZH2 as a prognostic-related biomarker in lung adenocarcinoma correlating with cell cycle and immune infiltrates37
Can large language models understand molecules?37
A graph neural network framework for mapping histological topology in oral mucosal tissue37
False discovery rate estimation using candidate peptides for each spectrum37
Assessment of deep learning and transfer learning for cancer prediction based on gene expression data36
CCL-DTI: contributing the contrastive loss in drug–target interaction prediction36
Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data36
Gene expression variability across cells and species shapes the relationship between renal resident macrophages and infiltrated macrophages35
Single-cell classification using graph convolutional networks35
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT35
qRAT: an R-based stand-alone application for relative expression analysis of RT-qPCR data34
Secondary structure specific simpler prediction models for protein backbone angles34
iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects34
Optimal construction of a functional interaction network from pooled library CRISPR fitness screens34
CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species34
Evaluation of tree-based statistical learning methods for constructing genetic risk scores34
Semantic interoperability: ontological unpacking of a viral conceptual model34
A deep learning approach to predict inter-omics interactions in multi-layer networks33
MultiToxPred 1.0: a novel comprehensive tool for predicting 27 classes of protein toxins using an ensemble machine learning approach33
CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity33
Fasta2Structure: a user-friendly tool for converting multiple aligned FASTA files to STRUCTURE format33
NODeJ: an ImageJ plugin for 3D segmentation of nuclear objects32
Ant colony optimization for the identification of dysregulated gene subnetworks from expression data32
A-Prot: protein structure modeling using MSA transformer32
MTAGCN: predicting miRNA-target associations in Camellia sinensis var. assamica through graph convolution neural network32
A targeted solution for estimating the cell-type composition of bulk samples31
LinG3D: visualizing the spatio-temporal dynamics of clonal evolution31
VirPool: model-based estimation of SARS-CoV-2 variant proportions in wastewater samples31
A learning-based method to predict LncRNA-disease associations by combining CNN and ELM31
INFLECT: an R-package for cytometry cluster evaluation using marker modality31
Impaired time-distance reconfiguration patterns in Alzheimer's disease: a dynamic functional connectivity study with 809 individuals from 7 sites30
Correction: Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients30
Identification of fish species through tRNA-based primer design29
SVhound: detection of regions that harbor yet undetected structural variation29
A prefix and attention map discrimination fusion guided attention for biomedical named entity recognition29
Using empirical biological knowledge to infer regulatory networks from multi-omics data28
Propensity scores as a novel method to guide sample allocation and minimize batch effects during the design of high throughput experiments28
Identification of cuproptosis-related lncRNAs to predict prognosis and immune infiltration characteristics in alimentary tract malignancies28
PreAcrs: a machine learning framework for identifying anti-CRISPR proteins28
MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction28
Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions28
UniAMP: enhancing AMP prediction using deep neural networks with inferred information of peptides28
Web-based LinRegPCR: application for the visualization and analysis of (RT)-qPCR amplification and melting data28
A novel automated image analysis pipeline for quantifying morphological changes to the endoplasmic reticulum in cultured human cells28
BADASS: BActeriocin-Diversity ASsessment Software27
Investigation of improving the pre-training and fine-tuning of BERT model for biomedical relation extraction27
Deafness gene screening based on a multilevel cascaded BPNN model27
Forecasting the spread of COVID-19 using LSTM network27
The evaluation of transcription factor binding site prediction tools in human and Arabidopsis genomes27
Reducing Boolean networks with backward equivalence27
HGGA: hierarchical guided genome assembler27
Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts27
Statistical methods and resources for biomarker discovery using metabolomics27
A novel bi-directional heterogeneous network selection method for disease and microbial association prediction27
Designing multi-epitope vaccine against important colorectal cancer (CRC) associated pathogens based on immunoinformatics approach26
Super.FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics data26
Immunoinformatics design of multi-epitope vaccine using OmpA, OmpD and enterotoxin against non-typhoidal salmonellosis26
StrongestPath: a Cytoscape application for protein–protein interaction analysis26
MR-GGI: accurate inference of gene–gene interactions using Mendelian randomization25
Integrated approach to generate artificial samples with low tumor fraction for somatic variant calling benchmarking25
Integrative analysis of TP53 mutations in lung adenocarcinoma for immunotherapies and prognosis25
Classification of age-related macular degeneration using convolutional-neural-network-based transfer learning25
A clustering procedure for three-way RNA sequencing data using data transformations and matrix-variate Gaussian mixture models25
Development of a TSR-based method for understanding structural relationships of cofactors and local environments in photosystem I25
A clinical knowledge graph-based framework to prioritize candidate genes for facilitating diagnosis of Mendelian diseases and rare genetic conditions25
An effective method to resolve ambiguous bisulfite-treated reads25
FragGeneScanRs: faster gene prediction for short reads25
The prognostic value of autophagy related genes with potential protective function in Ewing sarcoma24
Probabilistic quotient’s work and pharmacokinetics’ contribution: countering size effect in metabolic time series measurements24
Informeasure: an R/bioconductor package for quantifying nonlinear dependence between variables in biological networks from an information theory perspective24
Piikun: an information theoretic toolkit for analysis and visualization of species delimitation metric space24
refMLST: reference-based multilocus sequence typing enables universal bacterial typing24
Combining single-cell ATAC and RNA sequencing for supervised cell annotation24
Inference of single-cell network using mutual information for scRNA-seq data analysis24
PMFFRC: a large-scale genomic short reads compression optimizer via memory modeling and redundant clustering24
Conformal novelty detection for multiple metabolic networks24
SwarmTCR: a computational approach to predict the specificity of T cell receptors24
Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer24
In-vitro validated methods for encoding digital data in deoxyribonucleic acid (DNA)23
Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models23
ORFeus: a computational method to detect programmed ribosomal frameshifts and other non-canonical translation events23
A seed expansion-based method to identify essential proteins by integrating protein–protein interaction sub-networks and multiple biological characteristics23
PyToxo: a Python tool for calculating penetrance tables of high-order epistasis models23
MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules23
Predicting subcellular location of protein with evolution information and sequence-based deep learning23
MAC-ErrorReads: machine learning-assisted classifier for filtering erroneous NGS reads23
A tensor-based bi-random walks model for protein function prediction23
Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method23
A hybrid algorithm for clinical decision support in precision medicine based on machine learning22
Single-cell spatial explorer: easy exploration of spatial and multimodal transcriptomics22
Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review22
A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction22
A two-stage hybrid biomarker selection method based on ensemble filter and binary differential evolution incorporating binary African vultures optimization22
A robust and accurate single-cell data trajectory inference method using ensemble pseudotime22
DENSEN: a convolutional neural network for estimating chronological ages from panoramic radiographs22
Protein complexes detection based on node local properties and gene expression in PPI weighted networks22
Prediction of mutation-induced protein stability changes based on the geometric representations learned by a self-supervised method22
GSAMDA: a computational model for predicting potential microbe–drug associations based on graph attention network and sparse autoencoder22
CircPrimer 2.0: a software for annotating circRNAs and predicting translation potential of circRNAs22
Extract antibody and antigen names from biomedical literature22
Fractal feature selection model for enhancing high-dimensional biological problems22
Taxanorm: a novel taxa-specific normalization approach for microbiome data21
Data-driven discovery of chemotactic migration of bacteria via coordinate-invariant machine learning21
Wavelet Screening: a novel approach to analyzing GWAS data21
PerFSeeB: designing long high-weight single spaced seeds for full sensitivity alignment with a given number of mismatches21
Profile hidden Markov model sequence analysis can help remove putative pseudogenes from DNA barcoding and metabarcoding datasets21
Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins21
LOCC: a novel visualization and scoring of cutoffs for continuous variables with hepatocellular carcinoma prognosis as an example21
LaRA 2: parallel and vectorized program for sequence–structure alignment of RNA sequences21
A new biomarker panel of ultraconserved long non-coding RNAs for bladder cancer prognosis by a machine learning based methodology21
GVC: efficient random access compression for gene sequence variations21
Comparative analysis of aneurysm subtypes associated genes based on protein–protein interaction network21
LPMX: a pure rootless composable container system21
Deep learning-enabled natural language processing to identify directional pharmacokinetic drug–drug interactions20
A consensus-based ensemble approach to improve transcriptome assembly20
Using entropy-driven amplifier circuit response to build nonlinear model under the influence of Lévy jump20
Closha 2.0: a bio-workflow design system for massive genome data analysis on high performance cluster infrastructure20
Ion-pumping microbial rhodopsin protein classification by machine learning approach20
Incorporating support vector machine with sequential minimal optimization to identify anticancer peptides20
DiCleave: a deep learning model for predicting human Dicer cleavage sites20
Correction to: Impact of concurrency on the performance of a whole exome sequencing pipeline20
Detection of cell markers from single cell RNA-seq with sc2marker20
Comparison of sequencing data processing pipelines and application to underrepresented African human populations20
Fusion of single-cell transcriptome and DNA-binding data, for genomic network inference in cortical development20
Rendering protein mutation movies with MutAmore20
Dual-approach co-expression analysis framework (D-CAF) enables identification of novel circadian co-regulation from multi-omic timeseries data20
Goistrat: gene-of-interest-based sample stratification for the evaluation of functional differences20
scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder19
Comparing neural models for nested and overlapping biomedical event detection19
Prediction of diabetes disease using an ensemble of machine learning multi-classifier models19
Image-centric compression of protein structures improves space savings19
Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning19
GKLOMLI: a link prediction model for inferring miRNA–lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm19
Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks19
Identification of biomarkers predictive of metastasis development in early-stage colorectal cancer using network-based regularization19
A voting-based machine learning approach for classifying biological and clinical datasets19
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
PhenoExam: gene set analyses through integration of different phenotype databases19
Bioinformatics screening of biomarkers related to liver cancer19
Robust classification of wound healing stages in both mice and humans for acute and burn wounds based on transcriptomic data19
MetageneCluster: a Python package for filtering conflicting signal trends in metagene plots19
Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia19
Impact of gene annotation choice on the quantification of RNA-seq data19
The effect of data balancing approaches on the prediction of metabolic syndrome using non-invasive parameters based on random forest18
Multi-objective data enhancement for deep learning-based ultrasound analysis18
SEMgsa: topology-based pathway enrichment analysis with structural equation models18
SNPxE: SNP-environment interaction pattern identifier18
BioEGRE: a linguistic topology enhanced method for biomedical relation extraction based on BioELECTRA and graph pointer neural network18
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
Optimize data-driven multi-agent simulation for COVID-19 transmission18
circGPA: circRNA functional annotation based on probability-generating functions18
KEGG orthology prediction of bacterial proteins using natural language processing18
Automatic generation of pseudoknotted RNAs taxonomy18
DELEAT: gene essentiality prediction and deletion design for bacterial genome reduction17
ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering17
shinyCurves, a shiny web application to analyse multisource qPCR amplification data: a COVID-19 case study17
C-ziptf: stable tensor factorization for zero-inflated multi-dimensional genomics data17
CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction17
An iteration model for identifying essential proteins by combining comprehensive PPI network with biological information17
Exploring gene-patient association to identify personalized cancer driver genes by linear neighborhood propagation17
Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types17
JCBIE: a joint continual learning neural network for biomedical information extraction17
Correction: On Bayesian modeling of censored data in JAGS17
Comprior: facilitating the implementation and automated benchmarking of prior knowledge-based feature selection approaches on gene expression data sets17
Finding functional associations between prokaryotic virus orthologous groups: a proof of concept17
ProtPlat: an efficient pre-training platform for protein classification based on FastText17
FindCSV: a long-read based method for detecting complex structural variations17
Feature selection and causal analysis for microbiome studies in the presence of confounding using standardization17
CRPGCN: predicting circRNA-disease associations using graph convolutional network based on heterogeneous network17
PRED-LD: efficient imputation of GWAS summary statistics16
Using individual barcodes to increase quantification power of massively parallel reporter assays16
Correction to: Moonlighting protein prediction using physico‑chemical and evolutional properties via machine learning methods16
PDBeCIF: an open-source mmCIF/CIF parsing and processing package16
Fast and sensitive validation of fusion transcripts in whole-genome sequencing data16
Boosting variant-calling performance with multi-platform sequencing data using Clair3-MP16
ANINet: a deep neural network for skull ancestry estimation16
MBECS: Microbiome Batch Effects Correction Suite16
MFCADTI: improving drug-target interaction prediction by integrating multiple feature through cross attention mechanism16
Correction to: ncDLRES: a novel method for non‑coding RNAs family prediction based on dynamic LSTM and ResNet16
AMRViz enables seamless genomics analysis and visualization of antimicrobial resistance16
TFTenricher: a python toolbox for annotation enrichment analysis of transcription factor target genes16
Automatic block-wise genotype-phenotype association detection based on hidden Markov model16
M01 tool: an automated, comprehensive computational tool for generating small molecule-peptide hybrids and docking them into curated protein structures16
Correction to: Mining a stroke knowledge graph from literature16
Child-Sum EATree-LSTMs: enhanced attentive Child-Sum Tree-LSTMs for biomedical event extraction16
RSNET: inferring gene regulatory networks by a redundancy silencing and network enhancement technique16
Constrained Fourier estimation of short-term time-series gene expression data reduces noise and improves clustering and gene regulatory network predictions16
Genealyzer: web application for the analysis and comparison of gene expression data16
Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery15
Optimizing diabetes classification with a machine learning-based framework15
HGDTI: predicting drug–target interaction by using information aggregation based on heterogeneous graph neural network15
GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification15
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