OOIR: Observatory of International Research

Papers

(The median citation count of Biodata Mining is 2. 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 2022-05-01 to 2026-05-01.)

Article	Citations
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 analys	475
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder	457
CancerHubs Data Explorer: a web application for investigating mutation-enriched protein interaction hubs in human cancers	171
Processing imbalanced medical data at the data level with assisted-reproduction data as an example	98
Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma	72
Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	58
A fairness-aware machine learning framework for maternal health in Ghana: integrating explainability, bias mitigation, and causal inference for ethical AI deployment	47
Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion	45
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics	42
Exploring the common genetic basis of metabolic syndrome-related diseases and chronic kidney disease: insights from extensive genome-wide cross-trait analyses	41
Quantum Angle–distance kernel for ECG classification and anomaly detection: a quantum-inspired framework for biomedical signal analysis	40
circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data	37
Disease- and gene-specific deep learning for pathogenicity prediction of rare missense variants in cancer predisposition genes	36
Polygenic risk modeling of tumor stage and survival in bladder cancer	33
Comparing new tools of artificial intelligence to the authentic intelligence of our global health students	26
Skin in the game: a review of computational models of the skin	26
Ten simple rules for providing bioinformatics support within a hospital	23
Unsupervised clustering based coronary artery segmentation	22
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records	21
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data	18
Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes	17
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data	17
AI-Driven SaO2 prediction from pulse oximetry and electronic health records	17
Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	16
Mapping the evolving trend of research on efferocytosis: a comprehensive data-mining-based study	16

Genetics and precision health: the ecological fallacy and artificial intelligence solutions	16
Early differentiation between paroxysmal and persistent atrial fibrillation based on interpretable machine learning: a multicenter retrospective study	15
Multi-output LSTM-based prediction of postoperative delirium: integrating baseline and perioperative data for enhanced risk stratification in older spine surgery patients	15
Supervised multiple kernel learning approaches for multi-omics data integration	14
FISM: harnessing deep learning and reinforcement learning for precision detection of microaneurysms and retinal exudates for early diabetic retinopathy diagnosis	14
Correction: Motif clustering and digital biomarker extraction for free-living physical activity analysis	14
FARFOOD: a database of potential interactions between food compounds and drugs	13
Advancing preeclampsia prediction: a tailored machine learning pipeline integrating resampling and ensemble models for handling imbalanced medical data	12
Machine learning analysis of Drosophila testis transcriptomic data reveals potential regulatory sequences	12
A biology-based quality-diversity algorithm for drug repurposing in Alzheimer’s disease using automated machine learning	12
TLEUDS: a cascade Dual-Transfer learning system with quality- and knowledge-enhanced for precise fetal CHD screening	12
Tree-based ensemble learning models for protein-protein interactions detection: a review and experimental evaluation	12
From COVID-19 to monkeypox: a novel predictive model for emerging infectious diseases	11
Motif clustering and digital biomarker extraction for free-living physical activity analysis	11
Using GPT-4 to write a scientific review article: a pilot evaluation study	11
Effective hybrid feature selection using different bootstrap enhances cancers classification performance	11
MediNet: ensemble transfer learning approach for classification of medical drugs-related text reviews using significant combined-embeddings	11
Multimodal deep learning for survival prediction and biomarker discovery in non-small cell lung cancer	11
Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles	10
m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models	9
Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery	9
Assessment of the causal relationship between gut microbiota and cardiovascular diseases: a bidirectional Mendelian randomization analysis	9
Predictive modeling of ALS progression: an XGBoost approach using clinical features	8
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability	8
Reference-free phylogeny from sequencing data	8
An unsupervised image segmentation algorithm for coronary angiography	8
Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods	8
Understanding predictions of drug profiles using explainable machine learning models	8
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis	8
Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms	8
Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis	7
A crisis of overconfidence: Why confidence, not accuracy, is the real risk in clinical AI	7
Open challenges and opportunities in federated foundation models towards biomedical healthcare	7
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site	7
Decoding ancestry-specific genetic risk: interpretable deep feature selection reveals prostate cancer SNP disparities in diverse populations	7
Deep learning-based Emergency Department In-hospital Cardiac Arrest Score (Deep EDICAS) for early prediction of cardiac arrest and cardiopulmonary resuscitation in the emergency department	7
Computational prediction of cellular elastic modulus from mechanosensitive gene expression at multiple biological levels	7
Changing word meanings in biomedical literature reveal pandemics and new technologies	6
Light-XAI: a CADx for explainable cervical cancer detection via attention-based lightweight convolutional neural networks and layer-wise feature fusion	6
Endoscopy-based IBD identification by a quantized deep learning pipeline	6
Optimizing accuracy and dimensionality: a swarm intelligence strategy for robust cancer genomics classification	6
Harnessing machine learning with auditory tests and demographic factors to forecast children’s reading abilities in children living with and without HIV	6
ChatGPT and large language models in academia: opportunities and challenges	6
Clustering-based low-rank matrix approximation for multimodal medical image compression	6
A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records	6
Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S	6
Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies	6
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification	6
Exo-Tox: Identifying Exotoxins from secreted bacterial proteins	5
MultiChem: predicting chemical properties using multi-view graph attention network	5

Machine Learning Algorithms for understanding the determinants of under-five Mortality	5
Construction and application of medication reminder system: intelligent generation of universal medication schedule	5
Correction: A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma	5
Using artificial intelligence (AI) to model clinical variant reporting for next generation sequencing (NGS) oncology assays	5
Network-based multi-omics integrative analysis methods in drug discovery: a systematic review	5
Analysis of risk factors progression of preterm delivery using electronic health records	5
An explainable machine learning model for predicting postoperative cholangitis in pediatric surgical patients with pancreaticobiliary maljunction	5
Evaluation of network-guided random forest for disease gene discovery	5
A Gated Recurrent Unit based architecture for recognizing ontology concepts from biological literature	5
A multi-metric evaluation of readability in psychiatric discharge summaries	5
Benchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences	5
TGNet: tensor-based graph convolutional networks for multimodal brain network analysis	5
Prognostic biomarker discovery in pancreatic cancer through hybrid ensemble feature selection and multi-omics data	4
Priority-Elastic net for binary disease outcome prediction based on multi-omics data	4
Enhancing hepatopathy clinical trial efficiency: a secure, large language model-powered pre-screening pipeline	4
Algorithm-based detection of acute kidney injury according to full KDIGO criteria including urine output following cardiac surgery: a descriptive analysis	4
Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES	4
Cross-regional radiomics: a novel framework for relationship-based feature extraction with validation in Parkinson’s disease motor subtyping	4
Deciphering the tissue-specific functional effect of Alzheimer risk SNPs with deep genome annotation	4
Novel digital approaches to the assessment of problematic opioid use	4
ScInfoVAE: interpretable dimensional reduction of single cell transcription data with variational autoencoders and extended mutual information regularization	4
QIGTD: identifying critical genes in the evolution of lung adenocarcinoma with tensor decomposition	4
subMG automates data submission for metagenomics studies	4
Machine learning based study for the classification of Type 2 diabetes mellitus subtypes	4
A regularized Cox hierarchical model for incorporating annotation information in predictive omic studies	4
Deep vision in agriculture: assessing the function of YOLO in the classification of plant leaf diseases (PLDs)	4
The ethics of data mining in healthcare: challenges, frameworks, and future directions	4
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning	3
Cross-cohort genetic risk prediction for Alzheimer’s disease: a transfer learning approach using GWAS and deep learning models	3
Quantum analysis of squiggle data	3
Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis	3
Enhanced labor pain monitoring using machine learning and ECG waveform analysis for uterine contraction-induced pain	3
Learning the therapeutic targets of acute myeloid leukemia through multiscale human interactome network and community analysis	3
Radio Frequency Tagging–enabled patient monitoring: integrating mobility tracking with early warning systems for enhanced safety	3
PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies	3
ParticleChromo3D: a Particle Swarm Optimization algorithm for chromosome 3D structure prediction from Hi-C data	3
Short- and long-term weekly patient-reported outcomes prediction undergoing radiotherapy: single-patient time series model vs. transformer-based multi-patient time series model	3
Agenda setting for health equity assessment through the lenses of social determinants of health using machine learning approach: a framework and preliminary pilot study	3
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 study	3
Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis	3
Electronic medical records imputation by temporal Generative Adversarial Network	3
Network analysis of longitudinal electronic health records using linear mixed models	3
Deep learning based prediction of RNA 5hmC modifications using composite feature representations and comparative benchmarking with transformer models	3
AI as an accelerator for defining new problems that transcends boundaries	3
Deep learning-driven TCR$$\beta$$ repertoire analysis enhances diagnosis and enables mining of immunological biomarkers in systemic lupus erythematosus	3
A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks	2
KeySDL: sparse dictionary learning for keystone microbe identification from steady-state observations using a dynamical-systems model	2
Hierarchical machine learning models for predicting antenatal care utilisation among Nigerian women: Identifying actionable insights for health policy	2
Deep learning-based approaches for multi-omics data integration and analysis	2
Early prediction of longitudinal treatment adherence in obstructive sleep apnea using machine learning approaches	2
Inverse problem for parameters identification in a modified SIRD epidemic model using ensemble neural networks	2
Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features	2
DBSCAN applied to EHRs data from patients with glioblastoma clusters patients based on cytosolic Hsp70 protein, sex, and brain subventricular zone	2
Private pathological assessment via machine learning and homomorphic encryption	2
Can open source large language models be used for tumor documentation in Germany?—An evaluation on urological doctors’ notes	2
From prompt engineering to agent engineering: expanding the AI toolbox with autonomous agentic AI collaborators for biomedical discovery	2
CAUSALRLSTACK: adaptive balancing of deep representation and causal effect estimation with application to HIV-related health data	2
Proteome mining of Yersinia Enterocolitica for drug targets and computational inhibitor identification with ADMET, anti-inflammation potential and formulation characteristics	2
Construction and validation of a machine learning-based model predicting early readmission in patients with decompensated cirrhosis: a prospective two-center cohort study	2
Machine learning-based assessment of the healthy human gut mycobiota landscape using ITS1 DNA metabarcoding data	2
Assessing the limitations of relief-based algorithms in detecting higher-order interactions	2
Automated quantitative trait locus analysis (AutoQTL)	2
Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface	2
Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping	2