OOIR: Observatory of International Research

Papers

(The TQCC of Biodata Mining is 6. 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
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

Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	16
Multi-output LSTM-based prediction of postoperative delirium: integrating baseline and perioperative data for enhanced risk stratification in older spine surgery patients	15
Early differentiation between paroxysmal and persistent atrial fibrillation based on interpretable machine learning: a multicenter retrospective study	15
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
Supervised multiple kernel learning approaches for multi-omics data integration	14
FARFOOD: a database of potential interactions between food compounds and drugs	13
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
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
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
From COVID-19 to monkeypox: a novel predictive model for emerging infectious diseases	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
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
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
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
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