Power of multifactor dimensionality reduction and penalized logistic regression for detecting gene-gene interaction in a case-control study.
about
Evaluation of potential novel variations and their interactions related to bipolar disorders: analysis of genome-wide association study dataA novel evolution-based method for detecting gene-gene interactions.Performance analysis of novel methods for detecting epistasis.A novel survival multifactor dimensionality reduction method for detecting gene-gene interactions with application to bladder cancer prognosis.A robust multifactor dimensionality reduction method for detecting gene-gene interactions with application to the genetic analysis of bladder cancer susceptibility.High-order SNP combinations associated with complex diseases: efficient discovery, statistical power and functional interactions.A Simple and Computationally Efficient Approach to Multifactor Dimensionality Reduction Analysis of Gene-Gene Interactions for Quantitative Traits.A roadmap to multifactor dimensionality reduction methodsAn Efficient Stepwise Statistical Test to Identify Multiple Linked Human Genetic Variants Associated with Specific Phenotypic Traits.An overview of SNP interactions in genome-wide association studies.Multifactor dimensionality reduction as a filter-based approach for genome wide association studies.A comparison of multifactor dimensionality reduction and L1-penalized regression to identify gene-gene interactions in genetic association studiesSVM-based generalized multifactor dimensionality reduction approaches for detecting gene-gene interactions in family studies.
P2860
Q28395191-8B18FC60-D295-49A2-A9A9-A7EEBE24CDA4Q34064457-F746FB6E-5B77-459D-A1E9-4EC27349D95CQ34102036-CD100085-BAB5-4019-9CAA-DA673FC46380Q34146248-A22C6D89-DD36-48FF-87FF-69A99AA6C840Q34150782-40901CB3-04C1-4CCB-AEAD-46FD14C74CE0Q34247032-CBEDA93B-000A-41E1-A6BD-AF4628A540F3Q34353866-760E44F6-CDB2-49EA-8C45-1EA270D135A9Q34482182-2D95F6E8-1BE0-4ED7-A398-03515E7EF6DBQ35788318-D5825C78-CACA-4480-8B9D-74540884E3EEQ38252903-51348487-BCA6-429E-BFBC-F46F73482E2BQ40740062-1C33055A-64A5-4510-B178-23A9FCFB7300Q41988002-55CFD4F9-8ACF-42A6-8A14-BE8E55A42CC5Q44300495-04EF0272-40E4-42F2-8AA7-9F23EC1E9561
P2860
Power of multifactor dimensionality reduction and penalized logistic regression for detecting gene-gene interaction in a case-control study.
description
2009 nî lūn-bûn
@nan
2009 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
name
Power of multifactor dimension ...... ction in a case-control study.
@ast
Power of multifactor dimension ...... ction in a case-control study.
@en
type
label
Power of multifactor dimension ...... ction in a case-control study.
@ast
Power of multifactor dimension ...... ction in a case-control study.
@en
prefLabel
Power of multifactor dimension ...... ction in a case-control study.
@ast
Power of multifactor dimension ...... ction in a case-control study.
@en
P2093
P2860
P356
P1433
P1476
Power of multifactor dimension ...... ction in a case-control study.
@en
P2093
Marcia J Brott
Saonli Basu
William S Oetting
P2860
P2888
P356
10.1186/1471-2350-10-127
P577
2009-12-04T00:00:00Z
P5875
P6179
1029409862