A KAN-based hybrid deep neural networks for accurate identification of transcription factor binding sites
Optimizing Model Performance and Interpretability: an application to biological data classification
TCoCPIn: Unveiling Topological Characteristics of Chemical-Protein Interaction Networks for Discovering Novel Features in Interactions
Mugen-UMAP: UMAP visualization and clustering of mutated genes in single-cell DNA sequencing data
Identification of prognostic biomarkers for endometrioid endometrial carcinoma based on the miRNA and mRNA co‐expression network regulated by estradiol
DeepMethyGene: a deep-learning model to predict gene expression using DNA methylations
Diagnostic performance of machine-learning-based screening methods for skin disease
Identification and exploration of potential N6-methylation related mRNAs in endometriosis
The association between retinol metabolic activity and the risk of hepatocellular carcinoma: an analysis based on bulk RNA sequencing and mendelian randomization
Deep learning-based metabolomics data study of prostate cancer