Additional file 10: of CellMapper: rapid and accurate inference of gene expression in difficult-to-isolate cell types
Year: 2016
Type: article
Abstract: Previous algorithms fail to identify established marker genes for four neural cell types; companion figure to Fig. 2b. This figure replicates Fig. 2a using in silico nano-dissection, DSA, and Pearson’s correlation—the best performing previous algorithms. Dot charts display the rank of classic cell-specific markers (positive controls) for the four neural cell types, as predicted by (a) in silico nano-dissection, (b) DSA, or (c) Pearson’s correlation. Dots are colored based on their known primary cell type of expression. Dark gray shading covers the area (rank list) required to identify all positive control genes for each cell type. Only CellMapper accurately identified classic marker genes for these cell types. (PDF 55 kb)
Source: Figshare
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7138257007