OOIR: Observatory of International Research

Papers

(The TQCC of Biodata Mining is 5. 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 2021-05-01 to 2025-05-01.)

Article	Citations
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder	277
Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma	209
Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion	49
A new pipeline for structural characterization and classification of RNA-Seq microbiome data	40
Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	39
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	39
Processing imbalanced medical data at the data level with assisted-reproduction data as an example	29
Comparing new tools of artificial intelligence to the authentic intelligence of our global health students	23
Ten simple rules for providing bioinformatics support within a hospital	22
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data	22
Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient	21
Unsupervised clustering based coronary artery segmentation	21
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records	18
Polygenic risk modeling of tumor stage and survival in bladder cancer	18
Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning	15
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data	14
Supervised multiple kernel learning approaches for multi-omics data integration	13
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	13
Genetics and precision health: the ecological fallacy and artificial intelligence solutions	10
Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making	9
Advancing preeclampsia prediction: a tailored machine learning pipeline integrating resampling and ensemble models for handling imbalanced medical data	9
Comparison of 16S and whole genome dog microbiomes using machine learning	9
New neural network classification method for individuals ancestry prediction from SNPs data	9
Understanding predictions of drug profiles using explainable machine learning models	8

Using GPT-4 to write a scientific review article: a pilot evaluation study	8
Effective hybrid feature selection using different bootstrap enhances cancers classification performance	7
Predictive modeling of ALS progression: an XGBoost approach using clinical features	7
m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models	7
Motif clustering and digital biomarker extraction for free-living physical activity analysis	7
GenoVault: a cloud based genomics repository	7
Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery	7
Assessment of the causal relationship between gut microbiota and cardiovascular diseases: a bidirectional Mendelian randomization analysis	7
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism	6
From COVID-19 to monkeypox: a novel predictive model for emerging infectious diseases	6
Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles	6
Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms	5
Reference-free phylogeny from sequencing data	5
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site	5
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	5
An unsupervised image segmentation algorithm for coronary angiography	5
Humans and machines in biomedical knowledge curation: hypertrophic cardiomyopathy molecular mechanisms’ representation	5
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis	5
Open challenges and opportunities in federated foundation models towards biomedical healthcare	5
Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods	5
A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records	5
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability	5