Biodata Mining

Papers
(The median citation count of Biodata Mining is 1. 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
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder277
Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma209
Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion49
A new pipeline for structural characterization and classification of RNA-Seq microbiome data40
Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning39
Investigating potential drug targets for IgA nephropathy and membranous nephropathy through multi-queue plasma protein analysis: a Mendelian randomization study based on SMR and co-localization analys39
Processing imbalanced medical data at the data level with assisted-reproduction data as an example29
Comparing new tools of artificial intelligence to the authentic intelligence of our global health students23
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data22
Ten simple rules for providing bioinformatics support within a hospital22
Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient21
Unsupervised clustering based coronary artery segmentation21
Polygenic risk modeling of tumor stage and survival in bladder cancer18
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records18
Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning15
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data14
Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning13
Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes13
Supervised multiple kernel learning approaches for multi-omics data integration13
Genetics and precision health: the ecological fallacy and artificial intelligence solutions10
Advancing preeclampsia prediction: a tailored machine learning pipeline integrating resampling and ensemble models for handling imbalanced medical data9
Comparison of 16S and whole genome dog microbiomes using machine learning9
New neural network classification method for individuals ancestry prediction from SNPs data9
Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making9
Using GPT-4 to write a scientific review article: a pilot evaluation study8
Understanding predictions of drug profiles using explainable machine learning models8
m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models7
Motif clustering and digital biomarker extraction for free-living physical activity analysis7
GenoVault: a cloud based genomics repository7
Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery7
Assessment of the causal relationship between gut microbiota and cardiovascular diseases: a bidirectional Mendelian randomization analysis7
Effective hybrid feature selection using different bootstrap enhances cancers classification performance7
Predictive modeling of ALS progression: an XGBoost approach using clinical features7
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism6
From COVID-19 to monkeypox: a novel predictive model for emerging infectious diseases6
Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles6
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site5
Deep learning-based Emergency Department In-hospital Cardiac Arrest Score (Deep EDICAS) for early prediction of cardiac arrest and cardiopulmonary resuscitation in the emergency department5
An unsupervised image segmentation algorithm for coronary angiography5
Humans and machines in biomedical knowledge curation: hypertrophic cardiomyopathy molecular mechanisms’ representation5
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis5
Open challenges and opportunities in federated foundation models towards biomedical healthcare5
Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods5
A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records5
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability5
Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms5
Reference-free phylogeny from sequencing data5
Changing word meanings in biomedical literature reveal pandemics and new technologies4
Network-based multi-omics integrative analysis methods in drug discovery: a systematic review4
Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis4
ChatGPT and large language models in academia: opportunities and challenges4
Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis4
Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S4
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification4
Correction: A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma4
Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies3
Construction and application of medication reminder system: intelligent generation of universal medication schedule3
Analysis of risk factors progression of preterm delivery using electronic health records3
Algorithm-based detection of acute kidney injury according to full KDIGO criteria including urine output following cardiac surgery: a descriptive analysis3
ScInfoVAE: interpretable dimensional reduction of single cell transcription data with variational autoencoders and extended mutual information regularization3
A Gated Recurrent Unit based architecture for recognizing ontology concepts from biological literature3
Endoscopy-based IBD identification by a quantized deep learning pipeline3
MultiChem: predicting chemical properties using multi-view graph attention network3
Machine Learning Algorithms for understanding the determinants of under-five Mortality3
Polymorphisms in the mTOR-PI3K-Akt pathway, energy balance-related exposures and colorectal cancer risk in the Netherlands Cohort Study3
TGNet: tensor-based graph convolutional networks for multimodal brain network analysis3
Evaluation of network-guided random forest for disease gene discovery3
Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data3
Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES3
Prediction of MoRFs based on sequence properties and convolutional neural networks3
Novel digital approaches to the assessment of problematic opioid use2
ParticleChromo3D: a Particle Swarm Optimization algorithm for chromosome 3D structure prediction from Hi-C data2
QIGTD: identifying critical genes in the evolution of lung adenocarcinoma with tensor decomposition2
A regularized Cox hierarchical model for incorporating annotation information in predictive omic studies2
Priority-Elastic net for binary disease outcome prediction based on multi-omics data2
Electronic medical records imputation by temporal Generative Adversarial Network2
Quantum analysis of squiggle data2
Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis2
Machine learning based study for the classification of Type 2 diabetes mellitus subtypes2
eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals2
mSRFR: a machine learning model using microalgal signature features for ncRNA classification2
Enhanced labor pain monitoring using machine learning and ECG waveform analysis for uterine contraction-induced pain2
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning2
Leveraging mixed-effects regression trees for the analysis of high-dimensional longitudinal data to identify the low and high-risk subgroups: simulation study with application to genetic study2
Deciphering the tissue-specific functional effect of Alzheimer risk SNPs with deep genome annotation2
PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies2
iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes2
Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis2
AI as an accelerator for defining new problems that transcends boundaries2
iSuc-ChiDT: a computational method for identifying succinylation sites using statistical difference table encoding and the chi-square decision table classifier1
Agenda setting for health equity assessment through the lenses of social determinants of health using machine learning approach: a framework and preliminary pilot study1
Unsupervised encoding selection through ensemble pruning for biomedical classification1
Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts1
Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer’s disease progression study1
A generative deep neural network for pan-digestive tract cancer survival analysis1
A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks1
Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping1
Influenza, dengue and common cold detection using LSTM with fully connected neural network and keywords selection1
Automated quantitative trait locus analysis (AutoQTL)1
Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection1
Prognostic feature based on androgen-responsive genes in bladder cancer and screening for potential targeted drugs1
Minimization of occurrence of retained surgical items using machine learning and deep learning techniques: a review1
Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms1
Correction to: iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes1
Private pathological assessment via machine learning and homomorphic encryption1
Inverse problem for parameters identification in a modified SIRD epidemic model using ensemble neural networks1
Predicting molecular initiating events using chemical target annotations and gene expression1
Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features1
Assessing the limitations of relief-based algorithms in detecting higher-order interactions1
Seven quick tips for gene-focused computational pangenomic analysis1
Correction: Confounding of linkage disequilibrium patterns in large scale DNA based gene-gene interaction studies1
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets1
DIVIS: a semantic DIstance to improve the VISualisation of heterogeneous phenotypic datasets1
Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface1
Deep learning-based approaches for multi-omics data integration and analysis1
0.05323600769043