scTC_eff_clr: COVID-19 CLR Transformation Marker Effects (Internal)

In RepeatedHighDim: Methods for High-Dimensional Repeated Measures Data

COVID-19 CLR Transformation Marker Effects (Internal)

Description

Internal dataset containing marker gene effects using CLR transformation (5 PCs, 1000 features) for evaluating trimming effects in scTrimClust. Used by scTC_trim_effect.

Format

A data frame with marker genes as rows and the following columns:

CellAnnotation

Additional cell annotation information

X

Row identifier

avg_log2FC

Average log2 fold-change

gene

Gene identifier

p_val

Raw p-value

p_val_adj

Adjusted p-value

pct.1

Percentage of cells expressing the gene in cluster

pct.2

Percentage of cells expressing the gene in other clusters

cluster

Cluster assignment

RepeatedHighDim documentation built on April 15, 2025, 1:28 a.m.