sigConsistencyScores: Evaluates the significance of each signature in each cluster

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

Evaluates the significance of each signature in each cluster

Description

Evaluates the significance of each signature in each cluster

Usage

sigConsistencyScores(weights, sigScoresData, metaData, randomSigData, normExpr)

Arguments

weights	output of computeKNNWeights
sigScoresData	numeric matrix of signature scores size is cells x signatures
metaData	data.frame of meta-data for cells
randomSigData	A list with two 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
normExpr	NormData object used to generate random background sigs

Value

list:

• sigProbMatrix: the vector of consistency z-scores

• pVals: pvalues for the scores

• emp_pVals: pvalues for the scores

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