sigConsistencyScores: Evaluates the significance of each signature in each cluster

View source: R/methods-Signature.R

sigConsistencyScoresR Documentation

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.