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 2021-09-01 to 2025-09-01.)

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	359
Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	296
Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion	60
Processing imbalanced medical data at the data level with assisted-reproduction data as an example	51
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder	49
Exploring the common genetic basis of metabolic syndrome-related diseases and chronic kidney disease: insights from extensive genome-wide cross-trait analyses	47
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics	41
Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma	33
Ten simple rules for providing bioinformatics support within a hospital	27
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data	26
Polygenic risk modeling of tumor stage and survival in bladder cancer	23
Comparing new tools of artificial intelligence to the authentic intelligence of our global health students	23
circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data	20
Unsupervised clustering based coronary artery segmentation	19
Skin in the game: a review of computational models of the skin	17
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records	17
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data	14
Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning	14
Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	13
Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes	12
Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making	11
Genetics and precision health: the ecological fallacy and artificial intelligence solutions	11
Mapping the evolving trend of research on efferocytosis: a comprehensive data-mining-based study	11
Supervised multiple kernel learning approaches for multi-omics data integration	11
Advancing preeclampsia prediction: a tailored machine learning pipeline integrating resampling and ensemble models for handling imbalanced medical data	10

Correction: Motif clustering and digital biomarker extraction for free-living physical activity analysis	9
Motif clustering and digital biomarker extraction for free-living physical activity analysis	9
Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery	9
Using GPT-4 to write a scientific review article: a pilot evaluation study	9
From COVID-19 to monkeypox: a novel predictive model for emerging infectious diseases	9
m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models	9
Assessment of the causal relationship between gut microbiota and cardiovascular diseases: a bidirectional Mendelian randomization analysis	9
Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles	9
Predictive modeling of ALS progression: an XGBoost approach using clinical features	8
Open challenges and opportunities in federated foundation models towards biomedical healthcare	8
Effective hybrid feature selection using different bootstrap enhances cancers classification performance	8
An unsupervised image segmentation algorithm for coronary angiography	8
Understanding predictions of drug profiles using explainable machine learning models	8
Humans and machines in biomedical knowledge curation: hypertrophic cardiomyopathy molecular mechanisms’ representation	7
Reference-free phylogeny from sequencing data	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
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis	7
Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods	7
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site	7
Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms	7
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability	7
Changing word meanings in biomedical literature reveal pandemics and new technologies	6
Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S	6
Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis	6
A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records	6
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification	6