OOIR: Observatory of International Research

Papers

(The TQCC of Biodata Mining is 4. 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 2021-02-01 to 2025-02-01.)

Article	Citations
Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features	469
Transcriptome- and DNA methylation-based cell-type deconvolutions produce similar estimates of differential gene expression and differential methylation	192
QIGTD: identifying critical genes in the evolution of lung adenocarcinoma with tensor decomposition	130
Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection	33
Processing imbalanced medical data at the data level with assisted-reproduction data as an example	27
iU-Net: a hybrid structured network with a novel feature fusion approach for medical image segmentation	27
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism	26
Machine learning and statistical approaches for classification of risk of coronary artery disease using plasma cytokines	25
Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study	21
Reference-free phylogeny from sequencing data	19
Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods	18
Machine learning based study for the classification of Type 2 diabetes mellitus subtypes	18
Modeling heterogeneity of Sudanese hospital stay in neonatal and maternal unit: non-parametric random effect models with Gamma distribution	18
Prescription pattern analysis of Type 2 Diabetes Mellitus: a cross-sectional study in Isfahan, Iran	15
eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals	14
An unsupervised image segmentation algorithm for coronary angiography	13
Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis	12
Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	11
Exploring glioma heterogeneity through omics networks: from gene network discovery to causal insights and patient stratification	11
LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes	11
Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms	10
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis	10
Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma	10
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder	9
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability	9

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	9
Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion	8
Deciphering the tissue-specific functional effect of Alzheimer risk SNPs with deep genome annotation	8
Machine learning approaches for the genomic prediction of rheumatoid arthritis and systemic lupus erythematosus	6
Open challenges and opportunities in federated foundation models towards biomedical healthcare	6
Development of glaucoma predictive model and risk factors assessment based on supervised models	6
A new pipeline for structural characterization and classification of RNA-Seq microbiome data	5
Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms	5
A multi-feature hybrid classification data mining technique for human-emotion	5
A new challenge for data analytics: transposons	5
Polygenic risk modeling of tumor stage and survival in bladder cancer	5
Ten important roles for academic leaders to promote equity, diversity, and inclusion in data science	5
A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks	5
Genetic risk score for ovarian cancer based on chromosomal-scale length variation	5
RASMA: a reverse search algorithm for mining maximal frequent subgraphs	5
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data	4
PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies	4
Electronic medical records imputation by temporal Generative Adversarial Network	4
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site	4
Prognostic feature based on androgen-responsive genes in bladder cancer and screening for potential targeted drugs	4
DIVIS: a semantic DIstance to improve the VISualisation of heterogeneous phenotypic datasets	4
mSRFR: a machine learning model using microalgal signature features for ncRNA classification	4
Comparing new tools of artificial intelligence to the authentic intelligence of our global health students	4
Unsupervised encoding selection through ensemble pruning for biomedical classification	4
Evaluating risk detection methods to uncover ontogenic-mediated adverse drug effect mechanisms in children	4