evalClusters: Evaluate accuracy of combination

In ctlab/ClusDec: Clustering approach to solve complete Deconvolution problem

Description

Uses given combination as putative signatures for deconvolution Runs DSA algorithm

Usage

evalClusters(dataset, clustering, cls, clusterNumber, cellTypesNumber)

Arguments

dataset	matrix, given dataset to perform deconvolution
clustering	numeric vector, cluster of every row in dataset
cls	numeric vector, given cluster to evaluate accuracy
clusterNumber	numeric, total number of clusters in dataset
cellTypesNumber	numeric, expected number of cell types

Details

Then calculates Frobenius norm between logarithms of observed gene expression matrix and estimated gene expression matrix

Value

vector of cluster, sum-to-one error and log frobenius norm

ctlab/ClusDec documentation built on May 14, 2019, 12:29 p.m.