Biodata Mining

Papers
(The H4-Index of Biodata Mining is 20. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
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 analys481
Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma473
Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning185
Quantum Angle–distance kernel for ECG classification and anomaly detection: a quantum-inspired framework for biomedical signal analysis101
Exploring the common genetic basis of metabolic syndrome-related diseases and chronic kidney disease: insights from extensive genome-wide cross-trait analyses72
CancerHubs Data Explorer: a web application for investigating mutation-enriched protein interaction hubs in human cancers66
Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion58
A fairness-aware machine learning framework for maternal health in Ghana: integrating explainability, bias mitigation, and causal inference for ethical AI deployment47
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder43
Processing imbalanced medical data at the data level with assisted-reproduction data as an example42
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics40
Disease- and gene-specific deep learning for pathogenicity prediction of rare missense variants in cancer predisposition genes37
circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data37
Polygenic risk modeling of tumor stage and survival in bladder cancer33
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records28
Comparing new tools of artificial intelligence to the authentic intelligence of our global health students28
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data24
Ten simple rules for providing bioinformatics support within a hospital24
Skin in the game: a review of computational models of the skin22
Unsupervised clustering based coronary artery segmentation21
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