Description: Generates well-known integer sequences. 'gmp' package is adopted for computing with arbitrarily large numbers. Every function has hyperlink to its corresponding item in OEIS (The On-Line Encyclopedia of Integer Sequences) in the function help page. For interested readers, see Sloane and Plouffe (1995, ISBN:978-0125586306).

Package: aBioMarVsuit
Type: Package
Title: A Biomarker Validation Suit for predicting Survival using gene
signature.
Version: 1.0
Date: 2012-12-26
Author: Pushpike Thalikarathne and Ziv Shkedy
Maintainer: Pushpike Thalikarathne <Pushpike@gmail.com>
Description: This package is useful in finding and validating
predictive gene signature for classifying low risk versus high
risk patients in early phase clinical trials.  The primary end
point is survival, and classification of cancer patients into
low risk or high risk groups is mainly based on median cutoff,
but others can be considered as well. It can also accommodate
the prognostic factors if any. Both statistical and machine
learning techniques are integrated as validating suit.  The
package can be used to perform the analysis using the entire
samples and can also be used to carryout large scale cross
validations. For the first instance, package reduces larger
gene expression matrix to smaller version using supervised
principle components analysis. Later entire validation
procedure can be performed using reduced gene expression matrix
with various types of validation schemes.
Depends: glmnet, graphics, gplots, pls, survival, DLBCL, superpc,
utils, methods, stats, Biobase
License: GPL-3
LazyLoad: yes
Packaged: 2013-01-14 21:31:11 UTC; lucp2520
Repository: CRAN
Date/Publication: 2013-01-15 08:00:31

Title: aCGH dye bias normalisation and file reading and writing
Description: Spline fitting and interpolation

Title: Robust spline interpolation for dual color array comparative

Title: Convenience functions for analytical Customer Relationship
Imports: dummies, randomForest, kernelFactory, ada
Author: Dirk Van den Poel, Michel Ballings, Andrey Volkov, Jeroen
Description: Convenience functions for data preparation and modeling