Sciweavers

93 search results - page 1 / 19
» A statistical approach to finding overlooked genetic associa...
Sort
View
BMCBI
2010
130views more  BMCBI 2010»
13 years 7 months ago
A statistical approach to finding overlooked genetic associations
Background: Complexity and noise in expression quantitative trait loci (eQTL) studies make it difficult to distinguish potential regulatory relationships among the many interactio...
Andrew K. Rider, Geoffrey Siwo, Nitesh V. Chawla, ...
BMCBI
2005
169views more  BMCBI 2005»
13 years 7 months ago
Genetic interaction motif finding by expectation maximization - a novel statistical model for inferring gene modules from synthe
Background: Synthetic lethality experiments identify pairs of genes with complementary function. More direct functional associations (for example greater probability of membership...
Yan Qi 0003, Ping Ye, Joel S. Bader
BMCBI
2011
12 years 11 months ago
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray
BMCBI
2006
142views more  BMCBI 2006»
13 years 7 months ago
PedGenie: an analysis approach for genetic association testing in extended pedigrees and genealogies of arbitrary size
Background: We present a general approach to perform association analyses in pedigrees of arbitrary size and structure, which also allows for a mixture of pedigree members and ind...
Kristina Allen-Brady, Jathine Wong, Nicola J. Camp
BMCBI
2008
111views more  BMCBI 2008»
13 years 7 months ago
SimHap GUI: An intuitive graphical user interface for genetic association analysis
Background: Researchers wishing to conduct genetic association analysis involving single nucleotide polymorphisms (SNPs) or haplotypes are often confronted with the lack of user-f...
Kim W. Carter, Pamela A. McCaskie, Lyle J. Palmer