All functions

AIC_select()

Tuning parameter selection by AIC

auroc()

calculate area under ROC curve

check_ident_list()

check if the list of block dimensions are the same for the different conditions

CountMap()

Map scRNA-seq counts to a known covariance structure

generateBlki()

generate the small matrix in block i

generateSigmaList()

generate a list of covariance matrices with designed structures

getCondRelated()

get the genes connected to a TARGET GENE under each condition.

getCountList()

generate a list of raw count matrices based on the list of covariance matrices

getGENEbox()

plot: boxplot for a specific gene by group

getGENEhist()

plot: histogram of raw counts by group

getJGLTuningParamResult()

Derive the Joint Graphical Lasso estimation result by AIC tuning parameter selection

getObservedList()

create list of matrices according to conditions

getPathFreq()

Given a set of genes, get the frequencies of genes in each pathway.

huge_stars_joint()

The StARS tuning parameter selection method from package 'huge'. Adapted to JGL models.

Map2Pathways()

Map the gene set of interest to the known pathways

plot_onenet()

plot one network

prec2partialcorr()

Transform the precision matrix to partial correlation matrix

PRROC_pr()

calculate area under precision-recall curve

RunJGNsc()

RunJGNsc framework main function

stars.select()

Tuning parameter selection in JGL by StARS

trunc_precision()

truncate the (precision) matrix