scMCA: a tool to define mouse cell types based on single-cell digital expression
Computational Methods for Single-Cell Data Analysis, 2019•Springer
For decades, people have been trying to define cell type with the combination of expressed
genes. The choice of the limited number of genes for the classification limits the precision of
this system. Here, we build a “single-cell Mouse Cell Atlas (scMCA) analysis” pipeline based
on scRNA-seq datasets covering all mouse cell types. We build the scMCA reference and
then use the tool “scMCA” to match single-cell digital expression to its closest cell type.
genes. The choice of the limited number of genes for the classification limits the precision of
this system. Here, we build a “single-cell Mouse Cell Atlas (scMCA) analysis” pipeline based
on scRNA-seq datasets covering all mouse cell types. We build the scMCA reference and
then use the tool “scMCA” to match single-cell digital expression to its closest cell type.
Abstract
For decades, people have been trying to define cell type with the combination of expressed genes. The choice of the limited number of genes for the classification limits the precision of this system. Here, we build a “single-cell Mouse Cell Atlas (scMCA) analysis” pipeline based on scRNA-seq datasets covering all mouse cell types. We build the scMCA reference and then use the tool “scMCA” to match single-cell digital expression to its closest cell type.
Springer