View source: R/sclongitudinalDEG.R
sclongitudinalDEG | R Documentation |
This function allows ser to calculate differential expressed genes in the direction of given time points (if timepoints>3 otherwise DEGs between two timepoints). A hurdle model was fit to each participant independently in order to identify participant-specific longitudinal transcriptomic changes. Genes that were expressed in at least 10% of cells per participant were considered for this analysis. The models were fit on the input normalized data, modeling the timepoints as a continuous variable within each cell type and adjusting for the batch only if any timepoints from the same participant were run across multiple batches.
sclongitudinalDEG( data_object, scassay = "RNA", group_column, group_oi = NULL, mincellsexpressed = 0.1, removelnc = "TRUE", adjfac = NULL, baseline = NULL, addCDR = FALSE, CDR_column = NULL, plotWidth = 10, plotHeight = 10, fileName = NULL, filePATH = NULL )
data_object |
Input PALMO S4 object. It contains annotation information and expression data from Bulk or single cell data. |
scassay |
Single cell assay from scRNA seurat object (Default "RNA") |
group_column |
Column of interest such as "celltype" to analyze DEGs in participant over time |
group_oi |
Features of interest such as specific celltypes c("CD4_Naive", "CD4_TEM") |
mincellsexpressed |
Average expression threshold to filter lowly expressed genes/features Default is 0.1 |
removelnc |
Remove lincRNAs, mitochondrial and ribosomal genes from analysis incldes (^RP|^MT-|^LINC|orf) (TRUE/FALSE). Default is TRUE |
adjfac |
Factors to be adjusted for such as batch, sex |
baseline |
Donors (PTID) to be considered as baseline. Deafult NULL |
addCDR |
(Optional) Add CDR while performing differential analysis. Default is FALSE |
CDR_column |
(Optional) cellular detection rate column name |
plotWidth |
User-defined plot width, Default 10 in |
plotHeight |
User-defined plot height, Default 10 in |
fileName |
User-defined file name, Default outputFile |
filePATH |
User-defined output directory PATH Default, current directory |
## Not run: palmo_obj <- sclongitudinalDEG(ann=metadata, dataObj=pbmc, scassay="RNA", group_column="celltype") ## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.