Tumor cell type and gene marker identification by single layer perceptron neural network on single-cell RNA sequence data

This study also focused on classifying these unique cell types and gene markers using scRNA sequence datasets. The proposed single layer perceptron was assessed using two datasets: normal mucosa and colorectal tumors. Our findings showed that the proposed single layer perceptron performed exceptionally well with accuracy, precision, recall, and F1 value.PMID:38525885
Source: Journal of Biosciences - Category: Biomedical Science Authors: Source Type: research