Hglm.deg: apply DEG with multiple glms on Seruat object with case...
In GrigoriiNos/rimmi.rnaseq: Set of functions for genomics data analysis
View source: R/robust_DEG.RData.R
Hglm.deg R Documentation
apply DEG with multiple glms on Seruat object with case control meta data
Description
This function allows you to calculate an average expression for the list of genes of your interest.
Usage
Hglm.deg(
Seurat_obj,
condition = "condition",
cell.types = "RNA_snn_res.0.5",
model = c("glm0", "glm", "glmer")
)
Arguments
Seurat_obj
your Seurat object
model
type of the model to choose
Value
DEG table
GrigoriiNos/rimmi.rnaseq documentation built on April 29, 2022, 5:18 p.m.
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View source: R/robust_DEG.RData.R
| Hglm.deg | R Documentation |
apply DEG with multiple glms on Seruat object with case control meta data
Description
This function allows you to calculate an average expression for the list of genes of your interest.
Usage
Hglm.deg(
Seurat_obj,
condition = "condition",
cell.types = "RNA_snn_res.0.5",
model = c("glm0", "glm", "glmer")
)
Arguments
Seurat_obj |
your Seurat object |
model |
type of the model to choose |
Value
DEG table
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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