trainSexLab: Train a sex labeling classifier using input training data.
In erflynn/exprsex: Rank-Based Sex Labeling of Microarray Expression Data
Description
Usage
Arguments
Value
Description
Train a sex labeling classifier using input training data.
Usage
1
2
trainSexLab(train_dat, train_lab, female_genes = NULL,
male_genes = NULL, cut_frac = "1st Qu.")
Arguments
train_dat
training data frame - rows are genes (entrez id), columns are samples, values are ranks
train_lab
named list of training labels - 0 for female, 1 for male
female_genes
a list of female-specific genes (entrez id), if not provided - default genes will be used
male_genes
a list of male-specific genes (entrez id), if not provided, default genes will be used
cut_frac
Value
fit
erflynn/exprsex documentation built on Feb. 23, 2020, 2:34 a.m.
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Description Usage Arguments Value
Description
Train a sex labeling classifier using input training data.
Usage
1 2 | trainSexLab(train_dat, train_lab, female_genes = NULL,
male_genes = NULL, cut_frac = "1st Qu.")
|
Arguments
train_dat |
training data frame - rows are genes (entrez id), columns are samples, values are ranks |
train_lab |
named list of training labels - 0 for female, 1 for male |
female_genes |
a list of female-specific genes (entrez id), if not provided - default genes will be used |
male_genes |
a list of male-specific genes (entrez id), if not provided, default genes will be used |
cut_frac |
Value
fit
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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