OOIR: Observatory of International Research

Papers

(The TQCC of Biodata Mining is 7. 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 2022-08-01 to 2026-08-01.)

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	532
Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma	509
Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	228
Exploring the common genetic basis of metabolic syndrome-related diseases and chronic kidney disease: insights from extensive genome-wide cross-trait analyses	104
CancerHubs Data Explorer: a web application for investigating mutation-enriched protein interaction hubs in human cancers	92
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder	85
Quantum Angle–distance kernel for ECG classification and anomaly detection: a quantum-inspired framework for biomedical signal analysis	77
A fairness-aware machine learning framework for maternal health in Ghana: integrating explainability, bias mitigation, and causal inference for ethical AI deployment	53
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics	51
Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion	50
Processing imbalanced medical data at the data level with assisted-reproduction data as an example	42
circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data	40
Disease- and gene-specific deep learning for pathogenicity prediction of rare missense variants in cancer predisposition genes	40
Polygenic risk modeling of tumor stage and survival in bladder cancer	31
Comparing new tools of artificial intelligence to the authentic intelligence of our global health students	29
Ten simple rules for providing bioinformatics support within a hospital	28
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data	27
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records	25
Skin in the game: a review of computational models of the skin	24
Unsupervised clustering based coronary artery segmentation	22
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data	22
AI-Driven SaO2 prediction from pulse oximetry and electronic health records	21
TASC: a time-aware sequence clustering framework with uncertainty quantification for electronic health record trajectories	20
Discovery of postoperative clinical states linked to cardiac surgery-associated acute kidney injury	20
Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes	19

Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	18
Multi-omics analysis of genetic drivers linking aortic stenosis and left ventricular diastolic dysfunction in heart failure	18
Genetics and precision health: the ecological fallacy and artificial intelligence solutions	18
Early differentiation between paroxysmal and persistent atrial fibrillation based on interpretable machine learning: a multicenter retrospective study	17
FISM: harnessing deep learning and reinforcement learning for precision detection of microaneurysms and retinal exudates for early diabetic retinopathy diagnosis	17
Multi-output LSTM-based prediction of postoperative delirium: integrating baseline and perioperative data for enhanced risk stratification in older spine surgery patients	16
Supervised multiple kernel learning approaches for multi-omics data integration	15
Mapping the evolving trend of research on efferocytosis: a comprehensive data-mining-based study	14
FARFOOD: a database of potential interactions between food compounds and drugs	14
Correction: Motif clustering and digital biomarker extraction for free-living physical activity analysis	14
Machine learning analysis of Drosophila testis transcriptomic data reveals potential regulatory sequences	14
A biology-based quality-diversity algorithm for drug repurposing in Alzheimer’s disease using automated machine learning	13
TLEUDS: a cascade Dual-Transfer learning system with quality- and knowledge-enhanced for precise fetal CHD screening	13
Using GPT-4 to write a scientific review article: a pilot evaluation study	13
Tree-based ensemble learning models for protein-protein interactions detection: a review and experimental evaluation	12
Advancing preeclampsia prediction: a tailored machine learning pipeline integrating resampling and ensemble models for handling imbalanced medical data	12
Multimodal deep learning for survival prediction and biomarker discovery in non-small cell lung cancer	12
Deep learning multi-omics integration identifies new molecular subtypes of lung cancer	12
Motif clustering and digital biomarker extraction for free-living physical activity analysis	11
Effective hybrid feature selection using different bootstrap enhances cancers classification performance	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	10
From COVID-19 to monkeypox: a novel predictive model for emerging infectious diseases	10
Predictive modeling of ALS progression: an XGBoost approach using clinical features	10
MediNet: ensemble transfer learning approach for classification of medical drugs-related text reviews using significant combined-embeddings	9
Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery	9
Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods	9
Assessment of the causal relationship between gut microbiota and cardiovascular diseases: a bidirectional Mendelian randomization analysis	9
An unsupervised image segmentation algorithm for coronary angiography	9
Understanding predictions of drug profiles using explainable machine learning models	9
Reference-free phylogeny from sequencing data	9
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability	9
Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms	8
Open challenges and opportunities in federated foundation models towards biomedical healthcare	8
Learning a distance for the clustering of patients with amyotrophic lateral sclerosis	8
Computational prediction of cellular elastic modulus from mechanosensitive gene expression at multiple biological levels	8
Harnessing machine learning with auditory tests and demographic factors to forecast children’s reading abilities in children living with and without HIV	8
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	8
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis	8
A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records	8
Light-XAI: a CADx for explainable cervical cancer detection via attention-based lightweight convolutional neural networks and layer-wise feature fusion	8
Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S	7
A crisis of overconfidence: Why confidence, not accuracy, is the real risk in clinical AI	7
Navigating the uncharted: AI-driven advances in protein structure, dynamics, interactions and ligand interactions for understudied families	7
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site	7
Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis	7
Changing word meanings in biomedical literature reveal pandemics and new technologies	7
Optimizing accuracy and dimensionality: a swarm intelligence strategy for robust cancer genomics classification	7
Decoding ancestry-specific genetic risk: interpretable deep feature selection reveals prostate cancer SNP disparities in diverse populations	7