leukemia

Leukemia data set 
This dataset comes from a study of gene expression in two types of acute leukemias, acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). Gene expression levels were measured using Affymetrix high density oligonucleotide arrays containing 6817 human genes. A data set containing 72 observations from 3 leukemia types classes.<ul>
<li>Type has 3 classes with 38 cases of B-cell ALL, 25 cases of AML and 9 cases of T-cell ALL.</li>
<li>Gene1 to Gen 40 gene expression levels</li>
</ul>

datasets

Implements projection pursuit forest algorithm for supervised classification.

Natalia Silva

PPforest

Projection Pursuit Classification Forest

leukemia function

A data frame with 72 rows and 41 variables

Format

Leukemia data set
 
This dataset comes from a study of gene expression in two types of acute leukemias, acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). Gene expression levels were measured using Affymetrix high density oligonucleotide arrays containing 6817 human genes. A data set containing 72 observations from 3 leukemia types classes. 
<ul>
<li>Type has 3 classes with 38 cases of B-cell ALL, 25 cases of AML and 9 cases of T-cell ALL.</li>
<li>Gene1 to Gen 40 gene expression levels</li>
</ul> — leukemia

Leukemia data set
 
This dataset comes from a study of gene expression in two types of acute leukemias, acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). Gene expression levels were measured using Affymetrix high density oligonucleotide arrays containing 6817 human genes. A data set containing 72 observations from 3 leukemia types classes. 
<ul>
<li>Type has 3 classes with 38 cases of B-cell ALL, 25 cases of AML and 9 cases of T-cell ALL.</li>
<li>Gene1 to Gen 40 gene expression levels</li>
</ul>

Description

Usage

Arguments

Format