Single-cell RNA sequencing (scRNA-seq) has become a powerful tool for analyzing gene expression at the individual cell level. With the help of machine learning (ML) algorithms, scientists can now detect and categorize different cell types based on their gene expression profiles. However, as machine learning models become more integrated into biomedical research, it is ...
Single-cell RNA sequencing (scRNA-seq) has become a powerful tool for analyzing gene expression at the individual cell level. With the help of machine learning (ML) algorithms, scientists can now detect and categorize different cell types based on their gene expression profiles. However, as machine learning models become more integrated into biomedical research, it is ...