Hello,
diffxpy has been recommended as being a go to for performing differential gene expression analysis in the scanpy project. However, the documentation for intention of use is lacking. For instance, when performing marker gene identification, there is no documentation for it in diffxpy.
Thus far I have resorted to the following:
adata.obs['tmp'] = [ '0' if i == cl else '1' for i in adata.obs[clusterColumn]
rank = de.test.t_test( data = adata, grouping = 'tmp' )
I.e. separate cluster of interest from the rest, thereafter perform a differential gene expression.
Is this sufficent for marker identification in diffxpy, @falexwolf, @davidsebfischer ?
Hello,
diffxpy
has been recommended as being a go to for performing differential gene expression analysis in thescanpy
project. However, the documentation for intention of use is lacking. For instance, when performing marker gene identification, there is no documentation for it in diffxpy.Thus far I have resorted to the following:
I.e. separate cluster of interest from the rest, thereafter perform a differential gene expression.
Is this sufficent for marker identification in
diffxpy
, @falexwolf, @davidsebfischer ?