NCI60

datasets

Implements projection pursuit forest algorithm for supervised classification.

Natalia Silva

PPforest

Projection Pursuit Classification Forest

Natalia da Silva

Dianne Cook

Eun-Kyung Lee

NCI60 function

cDNA microarrays were used to examine the variation in gene expression among the 60 cell lines. The cell lines are derived from tumors with different sites of origin. This data set contain 61 observations and 30 feature variables from 8 different tissue types.<dl>
 <dt>Type</dt>
<dd>has 8 different tissue types, 9 cases of breast, 5 cases of central nervous system (CNS), 7 cases pf colon, 8 cases of leukemia, 8 cases of melanoma, 9 cases of non-small-cell lung carcinoma (NSCLC), 6 cases of ovarian and 9 cases of renal.</dd>
 
 <dt>Gene1, Gen2, ..., Gen30</dt>
<dd>Numeric gene expression information.</dd> 
</dl>A data frame with 61 rows and 31 variables

Format

NCI60 data set — NCI60

cDNA microarrays were used to examine the variation in gene expression among the 60 cell lines. The cell lines are derived from tumors with different sites of origin. This data set contain 61 observations and 30 feature variables from 8 different tissue types.<dl>
 <dt>Type</dt>
<dd>has 8 different tissue types, 9 cases of breast, 5 cases of central nervous system (CNS), 7 cases pf colon, 8 cases of leukemia, 8 cases of melanoma, 9 cases of non-small-cell lung carcinoma (NSCLC), 6 cases of ovarian and 9 cases of renal.</dd>
 
 <dt>Gene1, Gen2, ..., Gen30</dt>
<dd>Numeric gene expression information.</dd>

 
</dl>

A data frame with 61 rows and 31 variables

NCI60 data set

NCI60: NCI60 data set

Description

Usage

Arguments

Format