Hierarchical annotation of immune cells in scRNA-Seq data based on ssGSEA algorithm. Fork for large datasets with QOL improvements.

Update README.md

authored by Yingjiang17 and committed by GitHub 3d2d16c0 703b3465

Changed files
+4 -1
+4 -1
README.md
··· 2 Hierarchical annotation of immune cells in scRNA-Seq data based on ssGSEA algorithm. 3 4 The below demonstrates the result of Hierarchical annotation for some immune cells in the E-MTAB-11536 dataset (included in the package) 5 - 6 library(scImmuCC) 7 8 data(package="scImmuCC) ··· 11 count <- as.matrix(test_data) # Convert test data to matrix 12 13 test <- scImmuCC_Layered(count = count ,Non_Immune = FALSE)
··· 2 Hierarchical annotation of immune cells in scRNA-Seq data based on ssGSEA algorithm. 3 4 The below demonstrates the result of Hierarchical annotation for some immune cells in the E-MTAB-11536 dataset (included in the package) 5 + <table style="backgroud-color: F8CECC;"> 6 + <tr> 7 library(scImmuCC) 8 9 data(package="scImmuCC) ··· 12 count <- as.matrix(test_data) # Convert test data to matrix 13 14 test <- scImmuCC_Layered(count = count ,Non_Immune = FALSE) 15 + </tr> 16 + </table>