lung


Gene expression data for lung cancer classification between two classes: adenocarcinoma (ADCA); malignant pleural mesothe-lioma (MPM). The lung data set contains 181 tissue samples (150 ADCA and 31 MPM). Each sample is described by 12533 genes.


datasets

A package for selecting the most relevant features (genes) in the high-dimensional binary classification problems. The discriminative features are identified using analyzing the overlap between the expression values across both classes. The package includes functions for measuring the proportional overlapping score for each gene avoiding the outliers effect. The used measure for the overlap is the one defined in the "Proportional Overlapping Score (POS)" technique for feature selection. A gene mask which represents a gene's classification power can also be produced for each gene (feature). The set size of the selected genes might be set by the user. The minimum set of genes that correctly classify the maximum number of the given tissue samples (observations) can be also produced.

Osama Mahmoud

propOverlap

Feature (gene) selection based on the Proportional Overlapping
Scores

lung function

A matrix with 12534 rows (12533 rows show the gene expressions for 181 tissue samples, reported in columns, while the last row reports the corresponding sample's class label). The samples class's label coded as follows:
  <dl>
    <dt><code>1</code></dt><dd>adenocarcinoma sample (ADCA).</dd> <dt><code>2</code></dt><dd>malignant pleural mesothe-lioma sample (MPM).</dd> </dl> 

Format

<a href="http://cilab.ujn.edu.cn/datasets.htm">http://cilab.ujn.edu.cn/datasets.htm</a>

lung: Lung cancer data set.

Description

Usage

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Examples