hcsig_cut: Cluster Significance Cut

In jlaffy/statistrics: Basic Statistics For Single-Cell (or bulk) RNA Analyses

Description

Cluster Significance Cut

Usage

hcsig_cut(obj, n.sig.1 = 50, n.sig.2 = 10, by = "both")

Arguments

obj	hcsig object. Please refer to statistrics::hcsig.
n.sig.1	significance cutoff for the number of significantly differentially expressed genes per cluster. Defaults to 50. Any clusters that do not pass this cutoff OR/AND that of n.sig.2 are filtered out.
n.sig.2	significance cutoff for the number of more significantly differentially expressed genes per cluster. Defaults to 10. Any clusters that do not pass this cutoff OR/AND that of n.sig.1 are filtered out.
by	cut based on scores for: 'sig.1', 'sig.2', 'either' or 'both'.

Value

an hcsig object (the same structure and data types as the input) filtered to include only significant clusters.

jlaffy/statistrics documentation built on May 23, 2019, 4:04 a.m.