Cargando…

Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments

BACKGROUND: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increasingly popular to solve this type of problems. These models show good performance in accommodating noise, variability and...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhao, Hongya, Chan, Kwok-Leung, Cheng, Lee-Ming, Yan, Hong
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2008
Materias:	Proceedings
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2259410/ https://www.ncbi.nlm.nih.gov/pubmed/18315862 http://dx.doi.org/10.1186/1471-2105-9-S1-S9

Ejemplares similares

Bayesian hierarchical modeling of means and covariances of gene expression data within families
por: Pique-Regi, Roger, et al.
Publicado: (2007)

Investigation of reproducibility of differentially expressed genes in DNA microarrays through statistical simulation
por: Fan, Xiaohui, et al.
Publicado: (2009)

The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies
por: Shi, Leming, et al.
Publicado: (2008)

A Bayesian hierarchical gene model on latent genotypes for genome-wide association studies
por: Johnston, Ian, et al.
Publicado: (2014)

Modeling of multivariate longitudinal phenotypes in family genetic studies with Bayesian multiplicity adjustment
por: Ding, Lili, et al.
Publicado: (2014)

Mixture modeling of microarray gene expression data
por: Yang, Yang, et al.
Publicado: (2007)

Application of chicken microarrays for gene expression analysis in other avian species
por: Crowley, Tamsyn M, et al.
Publicado: (2009)

Analysis of human mini-exome sequencing data from Genetic Analysis Workshop 17 using a Bayesian hierarchical mixture model
por: Bueno Filho, Julio S, et al.
Publicado: (2011)

Bioinformatics approaches for cross-species liver cancer analysis based on microarray gene expression profiling
por: Fang, H, et al.
Publicado: (2005)

Nonlinear gene cluster analysis with labeling for microarray gene expression data in organ development
por: Ehler, Martin, et al.
Publicado: (2011)

Measuring similarity between gene expression profiles: a Bayesian approach
por: Nguyen, Viet-Anh, et al.
Publicado: (2009)

Different normalization strategies for microarray gene expression traits affect the heritability estimation
por: Ma, Jun, et al.
Publicado: (2007)

Microarray platform consistency is revealed by biologically functional analysis of gene expression profiles
por: Li, Zhiguang, et al.
Publicado: (2009)

Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
por: Loganantharaj, Raja, et al.
Publicado: (2006)

Reordering based integrative expression profiling for microarray classification
por: Wu, Xiaogang, et al.
Publicado: (2012)

A new method for identifying bivariate differential expression in high dimensional microarray data using quadratic discriminant analysis
por: Arevalillo, Jorge M, et al.
Publicado: (2011)

Predicting gene ontology from a global meta-analysis of 1-color microarray experiments
por: Dozmorov, Mikhail G, et al.
Publicado: (2011)

Towards the integration, annotation and association of historical microarray experiments with RNA-seq
por: Chavan, Shweta S, et al.
Publicado: (2013)

Comprehensive evaluation of matrix factorization methods for the analysis of DNA microarray gene expression data
por: Kim, Mi Hyeon, et al.
Publicado: (2011)

Bayesian Hierarchical Model for Estimating Gene Expression Intensity Using Multiple Scanned Microarrays
por: Gupta, Rashi, et al.
Publicado: (2007)

Evaluation of gene expression data generated from expired Affymetrix GeneChip(®) microarrays using MAQC reference RNA samples
por: Wen, Zhining, et al.
Publicado: (2010)

Microarray analysis distinguishes differential gene expression patterns from large and small colony Thymidine kinase mutants of L5178Y mouse lymphoma cells
por: Han, Tao, et al.
Publicado: (2006)

Exploring matrix factorization techniques for significant genes identification of Alzheimer’s disease microarray gene expression data
por: Kong, Wei, et al.
Publicado: (2011)

Very Important Pool (VIP) genes – an application for microarray-based molecular signatures
por: Su, Zhenqiang, et al.
Publicado: (2008)

Studying genetic determinants of natural variation in human gene expression using Bayesian ANOVA
por: Cartier, Kevin C, et al.
Publicado: (2007)

Identifying rare variants using a Bayesian regression approach
por: Yan, Aimin, et al.
Publicado: (2011)

Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
por: Costa, Ivan G, et al.
Publicado: (2007)

Factors associated with heterogeneity in microarray gene expression in peripheral blood mononuclear cells from large pedigrees
por: Gallaugher, Michael, et al.
Publicado: (2016)

Multivariate analysis of microarray data: differential expression and differential connection
por: Kiiveri, Harri T
Publicado: (2011)

Constrained multivariate association with longitudinal phenotypes
por: Melton, Phillip E., et al.
Publicado: (2016)

Gene network modular-based classification of microarray samples
por: Hu, Pingzhao, et al.
Publicado: (2012)

Microarray scanner calibration curves: characteristics and implications
por: Shi, Leming, et al.
Publicado: (2005)

Localization of genes involved in the metabolic syndrome using multivariate linkage analysis
por: Olswold, Curtis, et al.
Publicado: (2003)

R/BHC: fast Bayesian hierarchical clustering for microarray data
por: Savage, Richard S, et al.
Publicado: (2009)

Novel implementation of conditional co-regulation by graph theory to derive co-expressed genes from microarray data
por: Rawat, Arun, et al.
Publicado: (2008)

Improving the Performance of SVM-RFE to Select Genes in Microarray Data
por: Ding, Yuanyuan, et al.
Publicado: (2006)

Microarray test results should not be compensated for multiplicity of gene contents
por: Konishi, Tomokazu
Publicado: (2011)

Microarray comparison of prostate tumor gene expression in African-American and Caucasian American males: a pilot project study
por: Reams, R Renee, et al.
Publicado: (2009)

BADGE: A novel Bayesian model for accurate abundance quantification and differential analysis of RNA-Seq data
por: Gu, Jinghua, et al.
Publicado: (2014)

Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
por: Sartor, Maureen A, et al.
Publicado: (2006)

Cannot write session to /tmp/vufind_sessions/sess_hb1c1iig6uc3tn08tt8t2j93ll