A unified model based multifactor dimensionality reduction framework for detecting gene–gene interactions | Zendy

Wenbao Yu | Zendy; Seungyeoun Lee | Zendy; Taesung Park | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A unified model based multifactor dimensionality reduction framework for detecting gene–gene interactions

Author(s) -

Wenbao Yu,

Seungyeoun Lee,

Taesung Park

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw424

Subject(s) - multifactor dimensionality reduction , dimensionality reduction , computer science , reduction (mathematics) , gene , computational biology , curse of dimensionality , software , artificial intelligence , data mining , pattern recognition (psychology) , genetics , biology , genotype , mathematics , single nucleotide polymorphism , geometry , programming language

Gene-gene interaction (GGI) is one of the most popular approaches for finding and explaining the missing heritability of common complex traits in genome-wide association studies. The multifactor dimensionality reduction (MDR) method has been widely studied for detecting GGI effects. However, there are several disadvantages of the existing MDR-based approaches, such as the lack of an efficient way of evaluating the significance of multi-locus models and the high computational burden due to intensive permutation. Furthermore, the MDR method does not distinguish marginal effects from pure interaction effects.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research