OOIR: Observatory of International Research

Papers

(The median citation count of Biodata Mining is 1. 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
iU-Net: a hybrid structured network with a novel feature fusion approach for medical image segmentation	27
Processing imbalanced medical data at the data level with assisted-reproduction data as an example	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
Modeling heterogeneity of Sudanese hospital stay in neonatal and maternal unit: non-parametric random effect models with Gamma distribution	18
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
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
LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes	11
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
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
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
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
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
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
Development of glaucoma predictive model and risk factors assessment based on supervised models	6
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
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
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
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
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
Classification of breast cancer recurrence based on imputed data: a simulation study	3
Robust and rigorous identification of tissue-specific genes by statistically extending tau score	3
Building RadiologyNET: an unsupervised approach to annotating a large-scale multimodal medical database	3
Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis	3
ParticleChromo3D: a Particle Swarm Optimization algorithm for chromosome 3D structure prediction from Hi-C data	3
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets	3
Sparse self-attention aggregation networks for neural sequence slice interpolation	3
Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis	3
Learning and visualizing chronic latent representations using electronic health records	3
Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data	3
Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis	3
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records	3
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	2
Humans and machines in biomedical knowledge curation: hypertrophic cardiomyopathy molecular mechanisms’ representation	2
Acoustic and language analysis of speech for suicidal ideation among US veterans	2
Novel digital approaches to the assessment of problematic opioid use	2
Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes	2
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma	2
Detecting diseases in medical prescriptions using data mining methods	2
Priority-Elastic net for binary disease outcome prediction based on multi-omics data	2
Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient	2
Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication	2
Correction: Confounding of linkage disequilibrium patterns in large scale DNA based gene-gene interaction studies	2
LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification	2
Enhanced labor pain monitoring using machine learning and ECG waveform analysis for uterine contraction-induced pain	2

Correction to: iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes	2
A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records	2
G4 & the balanced metric family – a novel approach to solving binary classification problems in medical device validation & verification studies	2
Ten simple rules for providing bioinformatics support within a hospital	2
iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes	2
A generative deep neural network for pan-digestive tract cancer survival analysis	2
Quantum analysis of squiggle data	2
Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning	2
Attention-based dual-path feature fusion network for automatic skin lesion segmentation	1
Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis	1
The goldmine of GWAS summary statistics: a systematic review of methods and tools	1
Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis	1
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification	1
A Gated Recurrent Unit based architecture for recognizing ontology concepts from biological literature	1
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data	1
Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	1
An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer	1
Knowledge-slanted random forest method for high-dimensional data and small sample size with a feature selection application for gene expression data	1
Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts	1
Changing word meanings in biomedical literature reveal pandemics and new technologies	1
Evaluation of network-guided random forest for disease gene discovery	1
Prediction of synergistic drug combinations using PCA-initialized deep learning	1
Clinical assistant decision-making model of tuberculosis based on electronic health records	1
Minimization of occurrence of retained surgical items using machine learning and deep learning techniques: a review	1
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning	1
Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S	1
ChatGPT and large language models in academia: opportunities and challenges	1
Machine-learning based feature selection for a non-invasive breathing change detection	1