GLIDE: GPU-Based Linear Regression for Detection of Epistasis

Publisher： Karger

E-ISSN： 1423-0062|73|4|220-236

ISSN： 0001-5652

Source： Human Heredity, Vol.73, Iss.4, 2012-09, pp. : 220-236

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A Bagged, Partially Linear, Tree-Based Regression Procedure for Prediction and Variable Selection

By  

Human Heredity, Vol. 79, Iss. 3-4, 2015-07 ,pp. : 182-193

Karger

Access to resources Recommend Favorite

Prediction of complex traits based on the epistasis of multiple haplotypes

By Liang Kung-Hao   Wu Ying-Jye  

Journal of Human Genetics, Vol. 52, Iss. 5, 2007-05 ,pp. : 456-463

Springer Publishing Company

Access to resources Recommend Favorite

Imprinting detection by extending a regression-based QTL analysis method

By Gorlova Olga   Lei Lei   Zhu Dakai   Weng Shih-Feng   Shete Sanjay   Zhang Yiqun   Li Wei-Dong   Arlen Price R.   Amos Christopher  

Human Genetics, Vol. 122, Iss. 2, 2007-09 ,pp. : 159-174

Springer Publishing Company

Access to resources Recommend Favorite

Common variants of HTR1A and SLC6A4 confer the increasing risk of Schizophrenia susceptibility: A population‐based association and epistasis analysis

By  

American Journal Of Medical Genetics. Part B: Neuropsychiatric Genetics, Vol. 168, Iss. 8, 2015-12 ,pp. : 749-755

John Wiley & Sons Inc

Access to resources Recommend Favorite

Symbolic Modeling of Epistasis

By  

Human Heredity, Vol. 63, Iss. 2, 2007-02 ,pp. : 120-133

Karger

Access to resources Recommend Favorite