OOIR: Observatory of International Research

Papers

(The median citation count of Biodata Mining is 2. 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

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
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
Understanding predictions of drug profiles using explainable machine learning models	8
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
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
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
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
A Gated Recurrent Unit based architecture for recognizing ontology concepts from biological literature	5
Correction: A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma	5
Exo-Tox: Identifying Exotoxins from secreted bacterial proteins	5
Evaluation of network-guided random forest for disease gene discovery	5
ChatGPT and large language models in academia: opportunities and challenges	5
TGNet: tensor-based graph convolutional networks for multimodal brain network analysis	5
Endoscopy-based IBD identification by a quantized deep learning pipeline	5
Network-based multi-omics integrative analysis methods in drug discovery: a systematic review	4
Machine Learning Algorithms for understanding the determinants of under-five Mortality	4
Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES	4
Analysis of risk factors progression of preterm delivery using electronic health records	4
Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies	4
Construction and application of medication reminder system: intelligent generation of universal medication schedule	4
The ethics of data mining in healthcare: challenges, frameworks, and future directions	4
Polymorphisms in the mTOR-PI3K-Akt pathway, energy balance-related exposures and colorectal cancer risk in the Netherlands Cohort Study	4
MultiChem: predicting chemical properties using multi-view graph attention network	4
Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data	4
ScInfoVAE: interpretable dimensional reduction of single cell transcription data with variational autoencoders and extended mutual information regularization	4
A regularized Cox hierarchical model for incorporating annotation information in predictive omic studies	4
Deciphering the tissue-specific functional effect of Alzheimer risk SNPs with deep genome annotation	3
subMG automates data submission for metagenomics studies	3
Novel digital approaches to the assessment of problematic opioid use	3
QIGTD: identifying critical genes in the evolution of lung adenocarcinoma with tensor decomposition	3
Priority-Elastic net for binary disease outcome prediction based on multi-omics data	3

Electronic medical records imputation by temporal Generative Adversarial Network	3
Quantum analysis of squiggle data	3
Algorithm-based detection of acute kidney injury according to full KDIGO criteria including urine output following cardiac surgery: a descriptive analysis	3
Enhancing hepatopathy clinical trial efficiency: a secure, large language model-powered pre-screening pipeline	3
ParticleChromo3D: a Particle Swarm Optimization algorithm for chromosome 3D structure prediction from Hi-C data	3
mSRFR: a machine learning model using microalgal signature features for ncRNA classification	3
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning	3
Machine learning based study for the classification of Type 2 diabetes mellitus subtypes	3
PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies	3
AI as an accelerator for defining new problems that transcends boundaries	2
Enhanced labor pain monitoring using machine learning and ECG waveform analysis for uterine contraction-induced pain	2
Influenza, dengue and common cold detection using LSTM with fully connected neural network and keywords selection	2
Automated quantitative trait locus analysis (AutoQTL)	2
Private pathological assessment via machine learning and homomorphic encryption	2
Can open source large language models be used for tumor documentation in Germany?—An evaluation on urological doctors’ notes	2
A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks	2
Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface	2
Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis	2
Short- and long-term weekly patient-reported outcomes prediction undergoing radiotherapy: single-patient time series model vs. transformer-based multi-patient time series model	2
Agenda setting for health equity assessment through the lenses of social determinants of health using machine learning approach: a framework and preliminary pilot study	2
Inverse problem for parameters identification in a modified SIRD epidemic model using ensemble neural networks	2
Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping	2
Deep learning-based approaches for multi-omics data integration and analysis	2
iSuc-ChiDT: a computational method for identifying succinylation sites using statistical difference table encoding and the chi-square decision table classifier	2
Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis	2
Assessing the limitations of relief-based algorithms in detecting higher-order interactions	2
Learning the therapeutic targets of acute myeloid leukemia through multiscale human interactome network and community analysis	2
Leveraging mixed-effects regression trees for the analysis of high-dimensional longitudinal data to identify the low and high-risk subgroups: simulation study with application to genetic study	2
Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features	2
Predicting molecular initiating events using chemical target annotations and gene expression	2