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 2022-06-01 to 2026-06-01.)

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	481
Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma	473
Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	185
Quantum Angle–distance kernel for ECG classification and anomaly detection: a quantum-inspired framework for biomedical signal analysis	101
Exploring the common genetic basis of metabolic syndrome-related diseases and chronic kidney disease: insights from extensive genome-wide cross-trait analyses	72
CancerHubs Data Explorer: a web application for investigating mutation-enriched protein interaction hubs in human cancers	66
Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion	58
A fairness-aware machine learning framework for maternal health in Ghana: integrating explainability, bias mitigation, and causal inference for ethical AI deployment	47
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder	43
Processing imbalanced medical data at the data level with assisted-reproduction data as an example	42
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics	40
Disease- and gene-specific deep learning for pathogenicity prediction of rare missense variants in cancer predisposition genes	37
circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data	37
Polygenic risk modeling of tumor stage and survival in bladder cancer	33
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records	28
Comparing new tools of artificial intelligence to the authentic intelligence of our global health students	28
Ten simple rules for providing bioinformatics support within a hospital	24
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data	24
Skin in the game: a review of computational models of the skin	22
Unsupervised clustering based coronary artery segmentation	21
AI-Driven SaO2 prediction from pulse oximetry and electronic health records	19
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	17
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data	17
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	16
FISM: harnessing deep learning and reinforcement learning for precision detection of microaneurysms and retinal exudates for early diabetic retinopathy diagnosis	16
Mapping the evolving trend of research on efferocytosis: a comprehensive data-mining-based study	16
Multi-output LSTM-based prediction of postoperative delirium: integrating baseline and perioperative data for enhanced risk stratification in older spine surgery patients	15
Advancing preeclampsia prediction: a tailored machine learning pipeline integrating resampling and ensemble models for handling imbalanced medical data	14
Correction: Motif clustering and digital biomarker extraction for free-living physical activity analysis	14
TLEUDS: a cascade Dual-Transfer learning system with quality- and knowledge-enhanced for precise fetal CHD screening	14
Supervised multiple kernel learning approaches for multi-omics data integration	14
FARFOOD: a database of potential interactions between food compounds and drugs	14
A biology-based quality-diversity algorithm for drug repurposing in Alzheimer’s disease using automated machine learning	13
Machine learning analysis of Drosophila testis transcriptomic data reveals potential regulatory sequences	13
Using GPT-4 to write a scientific review article: a pilot evaluation study	13
Deep learning multi-omics integration identifies new molecular subtypes of lung cancer	13
Tree-based ensemble learning models for protein-protein interactions detection: a review and experimental evaluation	12
Effective hybrid feature selection using different bootstrap enhances cancers classification performance	12
Motif clustering and digital biomarker extraction for free-living physical activity analysis	12
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
Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery	10
Assessment of the causal relationship between gut microbiota and cardiovascular diseases: a bidirectional Mendelian randomization analysis	10
Predictive modeling of ALS progression: an XGBoost approach using clinical features	9
Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods	9
From COVID-19 to monkeypox: a novel predictive model for emerging infectious diseases	9
Understanding predictions of drug profiles using explainable machine learning models	9
An unsupervised image segmentation algorithm for coronary angiography	9
Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles	9
m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble 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	8
Computational prediction of cellular elastic modulus from mechanosensitive gene expression at multiple biological levels	8
Open challenges and opportunities in federated foundation models towards biomedical healthcare	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
Decoding ancestry-specific genetic risk: interpretable deep feature selection reveals prostate cancer SNP disparities in diverse populations	8
Optimizing accuracy and dimensionality: a swarm intelligence strategy for robust cancer genomics classification	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
A crisis of overconfidence: Why confidence, not accuracy, is the real risk in clinical AI	7
Light-XAI: a CADx for explainable cervical cancer detection via attention-based lightweight convolutional neural networks and layer-wise feature fusion	7
Harnessing machine learning with auditory tests and demographic factors to forecast children’s reading abilities in children living with and without HIV	7
Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis	7
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site	7
Exo-Tox: Identifying Exotoxins from secreted bacterial proteins	6
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification	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
An explainable machine learning model for predicting postoperative cholangitis in pediatric surgical patients with pancreaticobiliary maljunction	6
Changing word meanings in biomedical literature reveal pandemics and new technologies	6
ChatGPT and large language models in academia: opportunities and challenges	6
Using artificial intelligence (AI) to model clinical variant reporting for next generation sequencing (NGS) oncology assays	6
Evaluation of network-guided random forest for disease gene discovery	6

A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records	6
Clustering-based low-rank matrix approximation for multimodal medical image compression	6