deg.pairwise.fold.change {fCI} | R Documentation |
find targets that have a consistent fold change in the same direction
deg.pairwise.fold.change(pairwise.wt.up.down.fold, pairwise.df.up.down.fold, d = 1, min.fold = 1.2)
pairwise.wt.up.down.fold |
a list of numeric values representing the fold changes between control replicates for every gene |
pairwise.df.up.down.fold |
a list of numeric values representing the fold changes between case and control replicates for every gene |
d |
the dimensionality of the database, if the dataset is from proteogenomics, then d=2 |
min.fold |
minimum fold change to declare a gene to be dysregulated, by default, min.fold=2 |
TBD
expression ratio |
a dataframe of fCI gene expression ratios (folds) with none zero values defined by given control-control index (i.e. 1 & 2) and control-case index (i.e. 3&4) |
TBD
Shaojun Tang
http://software.steenlab.org/fCI/
TBD
wt.fold.changes=list(c(1.2,1.3,1.5,1.6)) df.fold.changes=list(c(1.1,1.3,1.4,1.6)) deg.pairwise.fold.change(wt.fold.changes,df.fold.changes)