leukemia.test

<p>Gene expression testing data of 7129 genes from 34 patients 
with acute leukemias (20 in class Acute Lymphoblastic Leukemia and 14 in 
class Acute Myeloid Leukemia) from the microarray study of Golub et al. (1999).</p>

datasets

Variable selection techniques are essential tools for model
selection and estimation in high-dimensional statistical models. Through this
publicly available package, we provide a unified environment to carry out
variable selection using iterative sure independence screening (SIS) (Fan and Lv (2008)<doi:10.1111/j.1467-9868.2008.00674.x>) and all
of its variants in generalized linear models (Fan and Song (2009)<doi:10.1214/10-AOS798>) and the Cox proportional hazards
model (Fan, Feng and Wu (2010)<doi:10.1214/10-IMSCOLL606>).

Yang Feng

Sure Independence Screening

Jianqing Fan

Diego Franco Saldana

Yichao Wu

Richard Samworth

leukemia.test function

<p>A data frame with 34 observations on 7129 variables.</p>

Format

Gene expression Leukemia testing data set from Golub et al. (1999) — leukemia.test

Gene expression Leukemia testing data set from Golub et al. (1999)

leukemia.test: Gene expression Leukemia testing data set from Golub et al. (1999)

Description

Usage

Arguments

Format

References