colon

Colon cancer data set from princeton, containing 2000 gene expressions from
22 colon tumor tissues and 40 non-tumor tissues. The data is collected by
Alon et al. (1999) and can be obtained from
<a href="http://genomics-pubs.princeton.edu/oncology/affydata/">here</a>.

datasets

data

Fast, flexible and user-friendly tools for distribution comparison
through direct density ratio estimation. The estimated density ratio can be
used for covariate shift adjustment, outlier-detection, change-point detection,
classification and evaluation of synthetic data quality. The package implements
multiple non-parametric estimation techniques (unconstrained least-squares
importance fitting, ulsif(), Kullback-Leibler importance estimation procedure,
kliep(), spectral density ratio estimation, spectral(), kernel mean matching,
kmm(), and least-squares hetero-distributional subspace search, lhss()).
with automatic tuning of hyperparameters. Helper functions are available for
two-sample testing and visualizing the density ratios. For an overview on
density ratio estimation, see Sugiyama et al. (2012) <doi:10.1017/CBO9781139035613>
for a general overview, and the help files for references on the specific
estimation techniques.

Thom Volker

densityratio

Distribution Comparison Through Density Ratio Estimation

Carlos Gonzalez Poses

Erik-Jan van Kesteren

colon function

A data.frame with 62 rows and 2001 columns (class variable and 2000
gene expressions).

Format

Colon cancer data set from princeton, containing 2000 gene expressions from
22 colon tumor tissues and 40 non-tumor tissues. The data is collected by
Alon et al. (1999) and can be obtained from
<a href='http://genomics-pubs.princeton.edu/oncology/affydata/'>here</a>.

colon: colon

Description

Arguments

Format