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| Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method |
| Seungyeoun Lee, Donghee Son, Wenbao Yu, Taesung Park |
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Genomics Inform. 2016;14(4):166-172. Published online December 30, 2016 DOI: https://doi.org/10.5808/GI.2016.14.4.166 |
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Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method Genomics & Informatics. 2016;14(4):166  A comparative study on the unified model based multifactor dimensionality reduction methods for identifying gene-gene interactions associated with the survival phenotype BioData Mining. 2021;14(1): A comparative study on the unified model based multifactor dimensionality reduction methods for identifying gene-gene interactions associated with the survival phenotype . 2021; A comparative study on the unified model based multifactor dimensionality reduction methods for identifying gene-gene interactions associated with the survival phenotype . 2020; Unified Cox model based multifactor dimensionality reduction method for gene-gene interaction analysis of the survival phenotype BioData Mining. 2018;11(1): A unified model based multifactor dimensionality reduction framework for detecting gene–gene interactions Bioinformatics. 2016;32(17):i605-i610 A multifactor dimensionality reduction model of gene polymorphisms and an environmental interaction analysis in type 2 diabetes mellitus study among Punjabi, a North India population Meta Gene. 2018;16:39-49 A novel fuzzy set based multifactor dimensionality reduction method for detecting gene–gene interaction Computational Biology and Chemistry. 2016;65:193-202 A Robust Multifactor Dimensionality Reduction Method for Detecting Gene-Gene Interactions with Application to the Genetic Analysis of Bladder Cancer Susceptibility Annals of Human Genetics. 2010;75(1):20-28 Fuzzy set-based generalized multifactor dimensionality reduction analysis of gene-gene interactions BMC Medical Genomics. 2018;11(S2): |
