Biodata Mining

Papers
(The H4-Index of Biodata Mining is 14. 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.)
ArticleCitations
Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features469
Transcriptome- and DNA methylation-based cell-type deconvolutions produce similar estimates of differential gene expression and differential methylation192
QIGTD: identifying critical genes in the evolution of lung adenocarcinoma with tensor decomposition130
Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection33
Processing imbalanced medical data at the data level with assisted-reproduction data as an example27
iU-Net: a hybrid structured network with a novel feature fusion approach for medical image segmentation27
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism26
Machine learning and statistical approaches for classification of risk of coronary artery disease using plasma cytokines25
Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study21
Reference-free phylogeny from sequencing data19
Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods18
Machine learning based study for the classification of Type 2 diabetes mellitus subtypes18
Modeling heterogeneity of Sudanese hospital stay in neonatal and maternal unit: non-parametric random effect models with Gamma distribution18
Prescription pattern analysis of Type 2 Diabetes Mellitus: a cross-sectional study in Isfahan, Iran15
eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals14
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