Detecting genome-wide epistases based on the clustering of relatively frequent items.
about
Cloud computing for detecting high-order genome-wide epistatic interaction via dynamic clusteringIntegrative information theoretic network analysis for genome-wide association study of aspirin exacerbated respiratory disease in Korean population.HiSeeker: Detecting High-Order SNP Interactions Based on Pairwise SNP Combinations.Filter-free exhaustive odds ratio-based genome-wide interaction approach pinpoints evidence for interaction in the HLA region in psoriasis.A Bayesian model for detection of high-order interactions among genetic variants in genome-wide association studiesExploiting Linkage Disequilibrium for Ultrahigh-Dimensional Genome-Wide Data with an Integrated Statistical Approach.CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions.A comment on two-locus epistatic interaction models for genome-wide association studies.A fast and exhaustive method for heterogeneity and epistasis analysis based on multi-objective optimization.MACOED: a multi-objective ant colony optimization algorithm for SNP epistasis detection in genome-wide association studies.Epistasis analysis of microRNAs on pathological stages in colon cancer based on an Empirical Bayesian Elastic Net method.ClusterMI: Detecting High-Order SNP Interactions Based on Clustering and Mutual Information
P2860
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P2860
Detecting genome-wide epistases based on the clustering of relatively frequent items.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Detecting genome-wide epistases based on the clustering of relatively frequent items.
@ast
Detecting genome-wide epistases based on the clustering of relatively frequent items.
@en
type
label
Detecting genome-wide epistases based on the clustering of relatively frequent items.
@ast
Detecting genome-wide epistases based on the clustering of relatively frequent items.
@en
prefLabel
Detecting genome-wide epistases based on the clustering of relatively frequent items.
@ast
Detecting genome-wide epistases based on the clustering of relatively frequent items.
@en
P2860
P356
P1433
P1476
Detecting genome-wide epistases based on the clustering of relatively frequent items
@en
P2093
P2860
P356
10.1093/BIOINFORMATICS/BTR603
P407
P50
P577
2011-11-03T00:00:00Z