scDBic: A novel deep learning-based biclustering algorithm for analyzing scRNA-seq data

Key Points

• The aim is to develop a new algorithm for biclustering analysis of single-cell RNA sequencing data.
• Developed a deep learning-based biclustering algorithm named scDBic.
• Applied scDBic to analyze single-cell RNA sequencing data.
• Compared performance with existing biclustering methods.
• scDBic demonstrated superior performance in both accuracy and efficiency.
• Identified gene expression patterns that were not detected by traditional methods.