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 2021-04-01 to 2025-04-01.)
ArticleCitations
Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features258
Transcriptome- and DNA methylation-based cell-type deconvolutions produce similar estimates of differential gene expression and differential methylation189
QIGTD: identifying critical genes in the evolution of lung adenocarcinoma with tensor decomposition46
Processing imbalanced medical data at the data level with assisted-reproduction data as an example39
A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks39
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis34
Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study28
Modeling heterogeneity of Sudanese hospital stay in neonatal and maternal unit: non-parametric random effect models with Gamma distribution23
Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning22
An unsupervised image segmentation algorithm for coronary angiography22
Machine learning and statistical approaches for classification of risk of coronary artery disease using plasma cytokines20
A new pipeline for structural characterization and classification of RNA-Seq microbiome data19
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism18
Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection14
0.021815061569214