my.svd
(Package: pdmclass) :
A Function to Perform Singular Value Decomposition
An alternative to Singular Value Decomposition function svd that examines n by p matrix x and if n < p obtains the svd by applying svd to the transpose of x. This is an internal function and is not intended to be called by the end user.
● Data Source:
BioConductor
● Keywords: internal
● Alias: my.svd
●
0 images
|
pdmClass
(Package: pdmclass) :
Function to Classify Microarray Data using Penalized
This function is used to classify microarray data. Since the underlying model fit is based on penalized discriminant methods, there is no need for a pre-filtering step to reduce the number of genes.
● Data Source:
BioConductor
● Keywords: classif, models, robust
● Alias: pdmClass
●
0 images
|
pdmClass.cv
(Package: pdmclass) :
Leave One Out Crossvalidation
This function performs a leave one out crossvalidation to estimate the accuracy of a classifier built using pdmClass.
● Data Source:
BioConductor
● Keywords: classif, models, robust
● Alias: pdmClass.cv
●
0 images
|
pdmGenes
(Package: pdmclass) :
A Function to output the Top Ranked Genes from a Penalized
After fitting a classifier, it is often desirable to output the most "interesting" genes for further validation. This function will output the top 'n' genes that discriminate between each class, along with an estimate of the stability of the observed rankings (see details for more information).
● Data Source:
BioConductor
● Keywords: classif, models, robust
● Alias: pdmGenes
●
0 images
|
pls1c
(Package: pdmclass) :
Function to Fit Modified Helland Algorithm
This function fits a partial least squares model based on the modified Helland algorithm. This is an internal function and is not intended to be called by the end user.
● Data Source:
BioConductor
● Keywords: internal
● Alias: pls1c
●
0 images
|
predict.pls
(Package: pdmclass) :
Classify Observations using Penalized Discriminant Methods
These are functions that can be used to classify new samples (a test set) based on an existing classifier created using a training set.
● Data Source:
BioConductor
● Keywords: classif, models, robust
● Alias: predict.pls, predict.svd
●
0 images
|
svdpls1c
(Package: pdmclass) :
Classify Microarray Data by Partial Least Squares
This function is used by pdmClass and pdmGenes to classify microarray data by partial least squares. It is an internal function and not intended to be called by the end user.
● Data Source:
BioConductor
● Keywords: internal
● Alias: svdpls1c
●
0 images
|
svdr
(Package: pdmclass) :
Classify Microarray Data by Principal Components Regression
This function is used by pdmClass and pdmGenes to classify microarray data by principal components regression. It is an internal function and not intended to be called by the end user.
● Data Source:
BioConductor
● Keywords: internal
● Alias: svdr
●
0 images
|
providing 
.