BMC Bioinformatics

Article	Citations
A novel nonparametric computational strategy for identifying differential methylation regions	1243
Linear programming based gene expression model (LPM-GEM) predicts the carbon source for Bacillus subtilis	349
Nonnegative matrix factorization analysis and multiple machine learning methods identified IL17C and ACOXL as novel diagnostic biomarkers for atherosclerosis	274
Abstraction-based segmental simulation of reaction networks using adaptive memoization	249
Multivariate estimation of factor structures of complex traits using SNP-based genomic relationships	159
Employing phylogenetic tree shape statistics to resolve the underlying host population structure	135
Grace-AKO: a novel and stable knockoff filter for variable selection incorporating gene network structures	105
SALON ontology for the formal description of sequence alignments	98
Locality-sensitive hashing enables efficient and scalable signal classification in high-throughput mass spectrometry raw data	96
Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction	95
Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signatures	95
Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology	93
CMIC: predicting DNA methylation inheritance of CpG islands with embedding vectors of variable-length k-mers	91
LDAGM: prediction lncRNA-disease asociations by graph convolutional auto-encoder and multilayer perceptron based on multi-view heterogeneous networks	82
Empowering the discovery of novel target-disease associations via machine learning approaches in the open targets platform	81
PEPMatch: a tool to identify short peptide sequence matches in large sets of proteins	81
REDalign: accurate RNA structural alignment using residual encoder-decoder network	81
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis	80
DualGCN-GE: integration of spatiotemporal representations from whole-blood expression data with dual-view graph convolution network to identify Parkinson’s disease subtypes	72
Combining whole genome sequencing and non-adaptive group testing for large-scale ethnicity screens	71
Weighted overlapping group lasso for integrating prior network knowledge into gene set analysis	70
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 control	69
Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data	66
Predictive modeling of gene expression regulation	64
Prediction of HIV-1 protease cleavage site from octapeptide sequence information using selected classifiers and hybrid descriptors	62

Integrated analysis of the voltage-gated potassium channel-associated gene KCNH2 across cancers	62
Examination of blood samples using deep learning and mobile microscopy	61
HPC-T-Assembly: a pipeline for de novo transcriptome assembly of large multi-specie datasets	58
A gene based combination test using GWAS summary data	56
SumStatsRehab: an efficient algorithm for GWAS summary statistics assessment and restoration	53
Hitac: a hierarchical taxonomic classifier for fungal ITS sequences compatible with QIIME2	52
Combining denoising of RNA-seq data and flux balance analysis for cluster analysis of single cells	52
CircWalk: a novel approach to predict CircRNA-disease association based on heterogeneous network representation learning	52
Multilayer network alignment based on topological assessment via embeddings	52
Enabling personalised disease diagnosis by combining a patient’s time-specific gene expression profile with a biomedical knowledge base	51
Prediction of hot spots in protein–DNA binding interfaces based on discrete wavelet transform and wavelet packet transform	50
Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug–target interactions prediction	50
Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework	49
SVDNVLDA: predicting lncRNA-disease associations by Singular Value Decomposition and node2vec	49
Prior knowledge on context-driven DNA fragmentation probabilities can improve de novo genome assembly algorithms	49
StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens	48
Mathematical modelling of SigE regulatory network reveals new insights into bistability of mycobacterial stress response	47
CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice	47
Mabs, a suite of tools for gene-informed genome assembly	47
Deep learning and multi-omics approach to predict drug responses in cancer	46
A shrinkage-based statistical method for testing group mean differences in quantitative bottom-up proteomics	46
Ant colony optimization for the identification of dysregulated gene subnetworks from expression data	45
A prefix and attention map discrimination fusion guided attention for biomedical named entity recognition	44
SVhound: detection of regions that harbor yet undetected structural variation	44
DTIP-WINDGRU a novel drug-target interaction prediction with wind-enhanced gated recurrent unit	43
qRAT: an R-based stand-alone application for relative expression analysis of RT-qPCR data	43
A learning-based method to predict LncRNA-disease associations by combining CNN and ELM	43
DeepCAC: a deep learning approach on DNA transcription factors classification based on multi-head self-attention and concatenate convolutional neural network	42
BADASS: BActeriocin-Diversity ASsessment Software	41
‘gitana’ (phyloGenetic Imaging Tool for Adjusting Nodes and other Arrangements), a tool for plotting phylogenetic trees into ready-to-publish figures	40
Fasta2Structure: a user-friendly tool for converting multiple aligned FASTA files to STRUCTURE format	40
MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction	40
Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data	40
MTAGCN: predicting miRNA-target associations in Camellia sinensis var. assamica through graph convolution neural network	39
Identification of cuproptosis-related lncRNAs to predict prognosis and immune infiltration characteristics in alimentary tract malignancies	39
INFLECT: an R-package for cytometry cluster evaluation using marker modality	38
LinG3D: visualizing the spatio-temporal dynamics of clonal evolution	38
VirPool: model-based estimation of SARS-CoV-2 variant proportions in wastewater samples	37
Correction: Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients	37
Identification of fish species through tRNA-based primer design	36
A-Prot: protein structure modeling using MSA transformer	36
Impaired time-distance reconfiguration patterns in Alzheimer's disease: a dynamic functional connectivity study with 809 individuals from 7 sites	36
A deep learning approach to predict inter-omics interactions in multi-layer networks	36
NODeJ: an ImageJ plugin for 3D segmentation of nuclear objects	35
Secondary structure specific simpler prediction models for protein backbone angles	35
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT	35
Gene expression variability across cells and species shapes the relationship between renal resident macrophages and infiltrated macrophages	35
LincRNA ZNF529-AS1 inhibits hepatocellular carcinoma via FBXO31 and predicts the prognosis of hepatocellular carcinoma patients	34
Semantic interoperability: ontological unpacking of a viral conceptual model	34
GraphKM: machine and deep learning for KM prediction of wildtype and mutant enzymes	34

Can large language models understand molecules?	34
Optimal construction of a functional interaction network from pooled library CRISPR fitness screens	34
CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity	34
Blastn2dotplots: multiple dot-plot visualizer for genome comparisons	34
UniAMP: enhancing AMP prediction using deep neural networks with inferred information of peptides	33
iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects	33
DiseaseNet: a transfer learning approach to noncommunicable disease classification	33
Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions	33
False discovery rate estimation using candidate peptides for each spectrum	33
A graph neural network framework for mapping histological topology in oral mucosal tissue	32
Propensity scores as a novel method to guide sample allocation and minimize batch effects during the design of high throughput experiments	32
CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species	32
A novel modality contribution confidence-enhanced multimodal deep learning framework for multiomics data	32
EZH2 as a prognostic-related biomarker in lung adenocarcinoma correlating with cell cycle and immune infiltrates	32
Using empirical biological knowledge to infer regulatory networks from multi-omics data	32
An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images	31
PreAcrs: a machine learning framework for identifying anti-CRISPR proteins	31
CCL-DTI: contributing the contrastive loss in drug–target interaction prediction	31
Evaluation of tree-based statistical learning methods for constructing genetic risk scores	31
Assessment of deep learning and transfer learning for cancer prediction based on gene expression data	30
MultiToxPred 1.0: a novel comprehensive tool for predicting 27 classes of protein toxins using an ensemble machine learning approach	30
BPFun: a deep learning framework for bioactive peptide function prediction using multi-label strategy by transformer-driven and sequence rich intrinsic information	29
HGGA: hierarchical guided genome assembler	29
A two-stage hybrid biomarker selection method based on ensemble filter and binary differential evolution incorporating binary African vultures optimization	29
The evaluation of transcription factor binding site prediction tools in human and Arabidopsis genomes	29
refMLST: reference-based multilocus sequence typing enables universal bacterial typing	29
Deafness gene screening based on a multilevel cascaded BPNN model	29
Integrated approach to generate artificial samples with low tumor fraction for somatic variant calling benchmarking	28
MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules	28
A robust and accurate single-cell data trajectory inference method using ensemble pseudotime	28
Fractal feature selection model for enhancing high-dimensional biological problems	28
Prediction of mutation-induced protein stability changes based on the geometric representations learned by a self-supervised method	28
A seed expansion-based method to identify essential proteins by integrating protein–protein interaction sub-networks and multiple biological characteristics	28
A novel bi-directional heterogeneous network selection method for disease and microbial association prediction	28
MAC-ErrorReads: machine learning-assisted classifier for filtering erroneous NGS reads	28
Inference of single-cell network using mutual information for scRNA-seq data analysis	28
PMFFRC: a large-scale genomic short reads compression optimizer via memory modeling and redundant clustering	28
Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method	28
Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models	28
Immunoinformatics design of multi-epitope vaccine using OmpA, OmpD and enterotoxin against non-typhoidal salmonellosis	28
In-vitro validated methods for encoding digital data in deoxyribonucleic acid (DNA)	28
GSAMDA: a computational model for predicting potential microbe–drug associations based on graph attention network and sparse autoencoder	28
The prognostic value of autophagy related genes with potential protective function in Ewing sarcoma	28
Integrative analysis of TP53 mutations in lung adenocarcinoma for immunotherapies and prognosis	27
Glucostats: an efficient Python library for glucose time series feature extraction and visual analysis	27
Informeasure: an R/bioconductor package for quantifying nonlinear dependence between variables in biological networks from an information theory perspective	27
Piikun: an information theoretic toolkit for analysis and visualization of species delimitation metric space	27
A tensor-based bi-random walks model for protein function prediction	27
Probabilistic quotient’s work and pharmacokinetics’ contribution: countering size effect in metabolic time series measurements	27
A clinical knowledge graph-based framework to prioritize candidate genes for facilitating diagnosis of Mendelian diseases and rare genetic conditions	26
MR-GGI: accurate inference of gene–gene interactions using Mendelian randomization	26
A clustering procedure for three-way RNA sequencing data using data transformations and matrix-variate Gaussian mixture models	26
Reducing Boolean networks with backward equivalence	26
Conformal novelty detection for multiple metabolic networks	26
Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer	26
Single-cell spatial explorer: easy exploration of spatial and multimodal transcriptomics	25
Classification of age-related macular degeneration using convolutional-neural-network-based transfer learning	25
SaeGraphDTI: drug–target interaction prediction based on sequence attribute extraction and graph neural network	25
Designing multi-epitope vaccine against important colorectal cancer (CRC) associated pathogens based on immunoinformatics approach	25
Combining single-cell ATAC and RNA sequencing for supervised cell annotation	25
Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts	25
CircPrimer 2.0: a software for annotating circRNAs and predicting translation potential of circRNAs	24
A hybrid algorithm for clinical decision support in precision medicine based on machine learning	24
PyToxo: a Python tool for calculating penetrance tables of high-order epistasis models	24
FragGeneScanRs: faster gene prediction for short reads	24
Development of a TSR-based method for understanding structural relationships of cofactors and local environments in photosystem I	24
Statistical methods and resources for biomarker discovery using metabolomics	24
ORFeus: a computational method to detect programmed ribosomal frameshifts and other non-canonical translation events	24
Investigation of improving the pre-training and fine-tuning of BERT model for biomedical relation extraction	24
DiCleave: a deep learning model for predicting human Dicer cleavage sites	23
Comparative analysis of aneurysm subtypes associated genes based on protein–protein interaction network	23
LOCC: a novel visualization and scoring of cutoffs for continuous variables with hepatocellular carcinoma prognosis as an example	23
Data-driven discovery of chemotactic migration of bacteria via coordinate-invariant machine learning	23
Rendering protein mutation movies with MutAmore	23
LPMX: a pure rootless composable container system	23
Extract antibody and antigen names from biomedical literature	23
Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins	22
PerFSeeB: designing long high-weight single spaced seeds for full sensitivity alignment with a given number of mismatches	22
Goistrat: gene-of-interest-based sample stratification for the evaluation of functional differences	22
Using entropy-driven amplifier circuit response to build nonlinear model under the influence of Lévy jump	22

scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder	22
Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review	22
Taxanorm: a novel taxa-specific normalization approach for microbiome data	22
Closha 2.0: a bio-workflow design system for massive genome data analysis on high performance cluster infrastructure	22
Dual-approach co-expression analysis framework (D-CAF) enables identification of novel circadian co-regulation from multi-omic timeseries data	22
GVC: efficient random access compression for gene sequence variations	22
GKLOMLI: a link prediction model for inferring miRNA–lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm	21
Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning	21
ProTaxoVis—protein taxonomic visualisation of presence	21
PhenoExam: gene set analyses through integration of different phenotype databases	21
LaRA 2: parallel and vectorized program for sequence–structure alignment of RNA sequences	21
A new biomarker panel of ultraconserved long non-coding RNAs for bladder cancer prognosis by a machine learning based methodology	21
Image-centric compression of protein structures improves space savings	21
Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks	21
Robust classification of wound healing stages in both mice and humans for acute and burn wounds based on transcriptomic data	21
Identification of biomarkers predictive of metastasis development in early-stage colorectal cancer using network-based regularization	21
An approach for proteins and their encoding genes synonyms integration based on protein ontology	21
Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia	21
Ion-pumping microbial rhodopsin protein classification by machine learning approach	21
Impact of gene annotation choice on the quantification of RNA-seq data	20
A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction	20
DENSEN: a convolutional neural network for estimating chronological ages from panoramic radiographs	20
Comprehensive analysis of cuproptosis-related lncRNAs in immune infiltration and prognosis in hepatocellular carcinoma	20
Comparing neural models for nested and overlapping biomedical event detection	20
Protein complexes detection based on node local properties and gene expression in PPI weighted networks	20
Deep learning-enabled natural language processing to identify directional pharmacokinetic drug–drug interactions	20
Detection of cell markers from single cell RNA-seq with sc2marker	20
The FBA solution space kernel: introduction and illustrative examples	20
Optimize data-driven multi-agent simulation for COVID-19 transmission	19
Correction: On Bayesian modeling of censored data in JAGS	19
Constrained Fourier estimation of short-term time-series gene expression data reduces noise and improves clustering and gene regulatory network predictions	19
MFCADTI: improving drug-target interaction prediction by integrating multiple feature through cross attention mechanism	19
Correction to: ncDLRES: a novel method for non‑coding RNAs family prediction based on dynamic LSTM and ResNet	19
Prediction of diabetes disease using an ensemble of machine learning multi-classifier models	19
Correction to: Mining a stroke knowledge graph from literature	19
ForestSubtype: a cancer subtype identifying approach based on high-dimensional genomic data and a parallel random forest	19
VEBA: a modular end-to-end suite for in silico recovery, clustering, and analysis of prokaryotic, microeukaryotic, and viral genomes from metagenomes	19
MetageneCluster: a Python package for filtering conflicting signal trends in metagene plots	19
Differential network connectivity analysis for microbiome data adjusted for clinical covariates using jackknife pseudo-values	19
FindCSV: a long-read based method for detecting complex structural variations	19
AMRViz enables seamless genomics analysis and visualization of antimicrobial resistance	19
Using individual barcodes to increase quantification power of massively parallel reporter assays	19
Child-Sum EATree-LSTMs: enhanced attentive Child-Sum Tree-LSTMs for biomedical event extraction	19
Metacells untangle large and complex single-cell transcriptome networks	18
The effect of data balancing approaches on the prediction of metabolic syndrome using non-invasive parameters based on random forest	18
RSNET: inferring gene regulatory networks by a redundancy silencing and network enhancement technique	18
HGDTI: predicting drug–target interaction by using information aggregation based on heterogeneous graph neural network	18
Clustering biological sequences with dynamic sequence similarity threshold	18
ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering	18
Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types	18
Exploring gene-patient association to identify personalized cancer driver genes by linear neighborhood propagation	18
MBECS: Microbiome Batch Effects Correction Suite	18
Optimizing diabetes classification with a machine learning-based framework	18
HPC-T-Annotator: an HPC tool for de novo transcriptome assembly annotation	18
Expression-based species deconvolution and realignment removes misalignment error in multispecies single-cell data	18
C-ziptf: stable tensor factorization for zero-inflated multi-dimensional genomics data	18
GNNs and ensemble models enhance the prediction of new sRNA-mRNA interactions in unseen conditions	18
Interpretable deep learning methods for multiview learning	17
Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction	17
Automatic generation of pseudoknotted RNAs taxonomy	17
MSA: reproducible mutational signature attribution with confidence based on simulations	17
Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery	17
M01 tool: an automated, comprehensive computational tool for generating small molecule-peptide hybrids and docking them into curated protein structures	17
CNVizard—a lightweight streamlit application for an interactive analysis of copy number variants	17
BarWare: efficient software tools for barcoded single-cell genomics	17
Computational application of internationally harmonized defined approaches to skin sensitization: DASS App	17
Prediction of vancomycin initial dosage using artificial intelligence models applying ensemble strategy	17
CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction	17
Phylo-rs: an extensible phylogenetic analysis library in rust	17
A voting-based machine learning approach for classifying biological and clinical datasets	17
Boosting variant-calling performance with multi-platform sequencing data using Clair3-MP	17
ANINet: a deep neural network for skull ancestry estimation	17
BioEGRE: a linguistic topology enhanced method for biomedical relation extraction based on BioELECTRA and graph pointer neural network	17
Multi-objective data enhancement for deep learning-based ultrasound analysis	17
circGPA: circRNA functional annotation based on probability-generating functions	17
PRED-LD: efficient imputation of GWAS summary statistics	17
Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers	17
Genealyzer: web application for the analysis and comparison of gene expression data	17
Fast and sensitive validation of fusion transcripts in whole-genome sequencing data	17
Automatic block-wise genotype-phenotype association detection based on hidden Markov model	17
KEGG orthology prediction of bacterial proteins using natural language processing	16
DMoVGPE: predicting gut microbial associated metabolites profiles with deep mixture of variational Gaussian Process experts	16
ASV portal: an interface to DNA-based biodiversity data in the Living Atlas	16
Drug response prediction using graph representation learning and Laplacian feature selection	16
Scellpam: an R package/C++ library to perform parallel partitioning around medoids on scRNAseq data sets	16
CRPGCN: predicting circRNA-disease associations using graph convolutional network based on heterogeneous network	16
cnnLSV: detecting structural variants by encoding long-read alignment information and convolutional neural network	16
Control of false discoveries in grouped hypothesis testing for eQTL data	16
Prediction of disease-related miRNAs by voting with multiple classifiers	16
SeQual-Stream: approaching stream processing to quality control of NGS datasets	16
A MATLAB-based app to improve LC–MS/MS data analysis for N-linked glycan peak identification	16
Feature selection followed by a novel residuals-based normalization that includes variance stabilization simplifies and improves single-cell gene expression analysis	16
BioLake: an RNA expression analysis framework for prostate cancer biomarker powered by data lakehouse	16
ImmunoDataAnalyzer: a bioinformatics pipeline for processing barcoded and UMI tagged immunological NGS data	16
EMDL_m6Am: identifying N6,2′-O-dimethyladenosine sites based on stacking ensemble deep learning	16