map_by_cor: Map samples to a training dataset by correlation

In AllenInstitute/scrattch.hicat: Hierarchical Iterative Clustering Analysis for Transcriptomic data

Map samples to a training dataset by correlation

Description

Map samples to a training dataset by correlation

Usage

map_by_cor(train.dat, train.cl, test.dat, method = "median")

Arguments

train.dat	Training data matrix, usually log-transformed CPM
train.cl	Training cluster factor object
test.dat	Data for cells to map to the training set. Should have the same genes as train.dat.
method	Which statistic to compare. "median" or "mean". Default is "median".

Value

a list object containing two objects:

• pred.df: a data.frame with two columns, pred.cl and pred.score with the predicted cluster and correlation scores.

• cor.matrix: a matrix object with correlation scores for each cluster.

AllenInstitute/scrattch.hicat documentation built on Oct. 20, 2023, 6:55 a.m.