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 2021-11-01 to 2025-11-01.)

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	380
Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	333
Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma	74
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder	67
Exploring the common genetic basis of metabolic syndrome-related diseases and chronic kidney disease: insights from extensive genome-wide cross-trait analyses	55
Processing imbalanced medical data at the data level with assisted-reproduction data as an example	54
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics	36
Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion	30
Polygenic risk modeling of tumor stage and survival in bladder cancer	28
Unsupervised clustering based coronary artery segmentation	25
circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data	23
Skin in the game: a review of computational models of the skin	23
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data	21
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records	20
Comparing new tools of artificial intelligence to the authentic intelligence of our global health students	20
Ten simple rules for providing bioinformatics support within a hospital	17
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data	17
Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning	16
Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes	16
Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	15
Genetics and precision health: the ecological fallacy and artificial intelligence solutions	14
Mapping the evolving trend of research on efferocytosis: a comprehensive data-mining-based study	13
Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making	13
Supervised multiple kernel learning approaches for multi-omics data integration	12
FISM: harnessing deep learning and reinforcement learning for precision detection of microaneurysms and retinal exudates for early diabetic retinopathy diagnosis	12

Advancing preeclampsia prediction: a tailored machine learning pipeline integrating resampling and ensemble models for handling imbalanced medical data	12
m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models	11
Correction: 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	10
Motif clustering and digital biomarker extraction for free-living physical activity analysis	10
From COVID-19 to monkeypox: a novel predictive model for emerging infectious diseases	10
An unsupervised image segmentation algorithm for coronary angiography	9
MediNet: ensemble transfer learning approach for classification of medical drugs-related text reviews using significant combined-embeddings	9
Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles	9
Assessment of the causal relationship between gut microbiota and cardiovascular diseases: a bidirectional Mendelian randomization analysis	9
Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery	9
Understanding predictions of drug profiles using explainable machine learning models	9
Predictive modeling of ALS progression: an XGBoost approach using clinical features	9
Open challenges and opportunities in federated foundation models towards biomedical healthcare	8
Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods	8
Reference-free phylogeny from sequencing data	8
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability	8
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site	7
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis	7
A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records	7
Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis	7
Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms	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
Decoding ancestry-specific genetic risk: interpretable deep feature selection reveals prostate cancer SNP disparities in diverse populations	7
Changing word meanings in biomedical literature reveal pandemics and new technologies	6
Endoscopy-based IBD identification by a quantized deep learning pipeline	6
ChatGPT and large language models in academia: opportunities and challenges	6
Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S	6
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification	6