getPCAScores: Principal Component Analysis scores using log-fold changes as...
In taylo5jm/interactions: Classification of gene expression profile sets generated from combination stimuli
Description
Usage
Arguments
Value
Examples
Description
Principal Component Analysis scores using log-fold changes as feature vectors
Usage
1
getPCAScores(pooled_lfc)
Arguments
pooled_lfc
matrix of log fold change ratios for pairwise comparisons.
pooled_lfc is intended to be a matrix of pooled log fold change ratios that map
to known interaction modes
Value
matrix of PCA scores
Examples
1
2
3
4
## Not run:
#FINISH LATER
## End(Not run)
taylo5jm/interactions documentation built on May 31, 2019, 3:57 a.m.
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Description Usage Arguments Value Examples
Description
Principal Component Analysis scores using log-fold changes as feature vectors
Usage
1 | getPCAScores(pooled_lfc)
|
Arguments
pooled_lfc |
matrix of log fold change ratios for pairwise comparisons.
|
Value
matrix of PCA scores
Examples
1 2 3 4 | ## Not run:
#FINISH LATER
## End(Not run)
|
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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