sigsVsProjection_n: Evaluates the significance of each numeric signature vs. a...

In YosefLab/VISION: Functional interpretation of single cell RNA-seq latent manifolds

Evaluates the significance of each numeric signature vs. a single projections weights

Description

Evaluates the significance of each numeric signature vs. a single projections weights

Usage

sigsVsProjection_n(sigScores, randomSigData, normExpr, weights, cells = NULL)

Arguments

sigScores	numeric matrix of signature scores size is cells x signatures
randomSigData	A list with three items: randomSigs: a list of signature score matrices. Each list item represents permutation signatures generated for a specific size/balance, and is a numeric matrix of size cells X signatures sigAssignments: named factor vector assigning signatures to random background groups randomSigAssignments: named factor vector assigning signatures to random background groups obtained from calling generatePermutationNull
normExpr	NormData object used to generate random background sigs
weights	numeric matrix of dimension N_SAMPLES x N_SAMPLES
cells	list of cell names. Subsets anlysis to provided cells. If omitted, use all cells.

Value

list:

• consistency: consistency scores

• pvals: pvalues

• emppvals: empirical pvalues

YosefLab/VISION documentation built on June 14, 2024, 5:27 p.m.