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 2021-04-01 to 2025-04-01.)

Article	Citations
Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features	258
Transcriptome- and DNA methylation-based cell-type deconvolutions produce similar estimates of differential gene expression and differential methylation	189
QIGTD: identifying critical genes in the evolution of lung adenocarcinoma with tensor decomposition	46
Processing imbalanced medical data at the data level with assisted-reproduction data as an example	39
A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks	39
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis	34
Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study	28
Modeling heterogeneity of Sudanese hospital stay in neonatal and maternal unit: non-parametric random effect models with Gamma distribution	23
Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	22
An unsupervised image segmentation algorithm for coronary angiography	22
Machine learning and statistical approaches for classification of risk of coronary artery disease using plasma cytokines	20
A new pipeline for structural characterization and classification of RNA-Seq microbiome data	19
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism	18
Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection	14
LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes	13
Machine learning based study for the classification of Type 2 diabetes mellitus subtypes	13
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability	10
Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods	10
Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis	9
Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma	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
Reference-free phylogeny from sequencing data	9
Exploring glioma heterogeneity through omics networks: from gene network discovery to causal insights and patient stratification	9
Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion	9
A new challenge for data analytics: transposons	8

Deciphering the tissue-specific functional effect of Alzheimer risk SNPs with deep genome annotation	8
Open challenges and opportunities in federated foundation models towards biomedical healthcare	8
Development of glaucoma predictive model and risk factors assessment based on supervised models	8
Machine learning approaches for the genomic prediction of rheumatoid arthritis and systemic lupus erythematosus	7
eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals	7
Unsupervised clustering based coronary artery segmentation	6
iU-Net: a hybrid structured network with a novel feature fusion approach for medical image segmentation	6
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder	6
Prescription pattern analysis of Type 2 Diabetes Mellitus: a cross-sectional study in Isfahan, Iran	6
Electronic medical records imputation by temporal Generative Adversarial Network	6
Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms	6
Inferring protein from transcript abundances using convolutional neural networks	5
Evaluating risk detection methods to uncover ontogenic-mediated adverse drug effect mechanisms in children	5
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records	5
Humans and machines in biomedical knowledge curation: hypertrophic cardiomyopathy molecular mechanisms’ representation	5
Novel digital approaches to the assessment of problematic opioid use	5
mSRFR: a machine learning model using microalgal signature features for ncRNA classification	5
Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient	5
iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes	5
Learning and visualizing chronic latent representations using electronic health records	5
Polygenic risk modeling of tumor stage and survival in bladder cancer	5
DIVIS: a semantic DIstance to improve the VISualisation of heterogeneous phenotypic datasets	4
Unsupervised encoding selection through ensemble pruning for biomedical classification	4
Priority-Elastic net for binary disease outcome prediction based on multi-omics data	4
ParticleChromo3D: a Particle Swarm Optimization algorithm for chromosome 3D structure prediction from Hi-C data	4
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site	4
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	3
Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis	3
Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis	3
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets	3
Classification of breast cancer recurrence based on imputed data: a simulation study	3
Building RadiologyNET: an unsupervised approach to annotating a large-scale multimodal medical database	3
Ten simple rules for providing bioinformatics support within a hospital	3
A generative deep neural network for pan-digestive tract cancer survival analysis	3
Robust and rigorous identification of tissue-specific genes by statistically extending tau score	3
A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records	3
Correction to: iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes	3
G4 & the balanced metric family – a novel approach to solving binary classification problems in medical device validation & verification studies	3
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
Comparing new tools of artificial intelligence to the authentic intelligence of our global health students	2
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data	2
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma	2
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data	2
Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis	2
Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S	2
Minimization of occurrence of retained surgical items using machine learning and deep learning techniques: a review	2
Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms	2
XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites	2
Prognostic feature based on androgen-responsive genes in bladder cancer and screening for potential targeted drugs	2

PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies	2
Knowledge-slanted random forest method for high-dimensional data and small sample size with a feature selection application for gene expression data	2
LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification	2
A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma	1
Enhanced labor pain monitoring using machine learning and ECG waveform analysis for uterine contraction-induced pain	1
AI as an accelerator for defining new problems that transcends boundaries	1
Evaluation of network-guided random forest for disease gene discovery	1
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning	1
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification	1
Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	1
Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis	1
Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer’s disease progression study	1
EZCancerTarget: an open-access drug repurposing and data-collection tool to enhance target validation and optimize international research efforts against highly progressive cancers	1
Prediction of synergistic drug combinations using PCA-initialized deep learning	1
Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis	1
Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes	1
Interpretable recurrent neural network models for dynamic prediction of the extubation failure risk in patients with invasive mechanical ventilation in the intensive care unit	1
Changing word meanings in biomedical literature reveal pandemics and new technologies	1
Machine-learning based feature selection for a non-invasive breathing change detection	1
Quantum analysis of squiggle data	1
An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer	1
Automated quantitative trait locus analysis (AutoQTL)	1
Comparison of 16S and whole genome dog microbiomes using machine learning	1
Detecting diseases in medical prescriptions using data mining methods	1
Predicting molecular initiating events using chemical target annotations and gene expression	1
Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis	1
ChatGPT and large language models in academia: opportunities and challenges	1
Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts	1
The goldmine of GWAS summary statistics: a systematic review of methods and tools	1
Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning	1
iSuc-ChiDT: a computational method for identifying succinylation sites using statistical difference table encoding and the chi-square decision table classifier	1