Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases Academic Article uri icon

Overview

MeSH Major

  • Chromosome Mapping
  • Epistasis, Genetic
  • Models, Genetic
  • Quantitative Trait Loci
  • Regression Analysis

abstract

  • The two-step procedure coupled with Bayesian classification offers flexibility in modeling "large p small n" data, especially for the sparse and asymmetric parameter space. This approach can be extended to other settings characterized by high dimension and low sample size.

publication date

  • May 29, 2008

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC2435550

Digital Object Identifier (DOI)

  • 10.1186/1471-2105-9-251

PubMed ID

  • 18510743

Additional Document Info

start page

  • 251

volume

  • 9