Cargando…

Gene set analysis for longitudinal gene expression data

BACKGROUND: Gene set analysis (GSA) has become a successful tool to interpret gene expression profiles in terms of biological functions, molecular pathways, or genomic locations. GSA performs statistical tests for independent microarray samples at the level of gene sets rather than individual genes....

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Ke, Wang, Haiyan, Bathke, Arne C, Harrar, Solomon W, Piepho, Hans-Peter, Deng, Youping
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2011
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142525/ https://www.ncbi.nlm.nih.gov/pubmed/21722407 http://dx.doi.org/10.1186/1471-2105-12-273

Ejemplares similares

Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes
por: Jiang, Hongying, et al.
Publicado: (2004)

High-dimensional repeated measures
por: Happ, Martin, et al.
Publicado: (2017)

Incremental genetic K-means algorithm and its application in gene expression data analysis
por: Lu, Yi, et al.
Publicado: (2004)

Longitudinal linear combination test for gene set analysis
por: Khodayari Moez, Elham, et al.
Publicado: (2019)

ADAGE signature analysis: differential expression analysis with data-defined gene sets
por: Tan, Jie, et al.
Publicado: (2017)

On Differential Gene Expression Using RNA-Seq Data
por: Lee, Juhee, et al.
Publicado: (2011)

Robust estimation of heritability and predictive accuracy in plant breeding: evaluation using simulation and empirical data
por: Lourenço, Vanda Milheiro, et al.
Publicado: (2020)

Dual KS: Defining Gene Sets with Tissue Set Enrichment Analysis
por: Yang, Yarong, et al.
Publicado: (2010)

Semi-supervised consensus clustering for gene expression data analysis
por: Wang, Yunli, et al.
Publicado: (2014)

Improving gene set analysis of microarray data by SAM-GS
por: Dinu, Irina, et al.
Publicado: (2007)

Independent component analysis of Alzheimer's DNA microarray gene expression data
por: Kong, Wei, et al.
Publicado: (2009)

Case-Based Retrieval Framework for Gene Expression Data
por: Anaissi, Ali, et al.
Publicado: (2015)

Computation of significance scores of unweighted Gene Set Enrichment Analyses
por: Keller, Andreas, et al.
Publicado: (2007)

Comparative evaluation of gene set analysis approaches for RNA-Seq data
por: Rahmatallah, Yasir, et al.
Publicado: (2014)

FDR-FET: an optimizing gene set enrichment analysis method
por: Ji, Rui-Ru, et al.
Publicado: (2011)

Improving detection of differentially expressed gene sets by applying cluster enrichment analysis to Gene Ontology
por: Xu, Tao, et al.
Publicado: (2009)

Principal component gene set enrichment (PCGSE)
por: Frost, H. Robert, et al.
Publicado: (2015)

Grouping Gene Ontology terms to improve the assessment of gene set enrichment in microarray data
por: Lewin, Alex, et al.
Publicado: (2006)

Time-Course Gene Set Analysis for Longitudinal Gene Expression Data
por: Hejblum, Boris P., et al.
Publicado: (2015)

Partition decoupling for multi-gene analysis of gene expression profiling data
por: Braun, Rosemary, et al.
Publicado: (2011)

Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes
por: Datta, Susmita, et al.
Publicado: (2006)

Gene-set distance analysis (GSDA): a powerful tool for gene-set association analysis
por: Cao, Xueyuan, et al.
Publicado: (2021)

Gene set analysis controlling for length bias in RNA-seq experiments
por: Ren, Xing, et al.
Publicado: (2017)

A two-step hierarchical hypothesis set testing framework, with applications to gene expression data on ordered categories
por: Li, Yihan, et al.
Publicado: (2014)

A novel biclustering approach with iterative optimization to analyze gene expression data
por: Sutheeworapong, Sawannee, et al.
Publicado: (2012)

An Application of Sequential Meta-Analysis to Gene Expression Studies
por: Novianti, Putri W, et al.
Publicado: (2015)

Dynamic association rules for gene expression data analysis
por: Chen, Shu-Chuan, et al.
Publicado: (2015)

Avoiding the pitfalls of gene set enrichment analysis with SetRank
por: Simillion, Cedric, et al.
Publicado: (2017)

Mining pathway associations for disease-related pathway activity analysis based on gene expression and methylation data
por: Lee, Hyeonjeong, et al.
Publicado: (2017)

Correction: Time-Course Gene Set Analysis for Longitudinal Gene Expression Data
Publicado: (2015)

Wanderer, an interactive viewer to explore DNA methylation and gene expression data in human cancer
por: Díez-Villanueva, Anna, et al.
Publicado: (2015)

Gene Set Enrichment Analyses: lessons learned from the heart failure phenotype
por: Tragante, Vinicius, et al.
Publicado: (2017)

Dynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection
por: Dimitrakopoulou, Konstantina, et al.
Publicado: (2011)

GeneSurrounder: network-based identification of disease genes in expression data
por: Shah, Sahil D., et al.
Publicado: (2019)

Network enrichment analysis: extension of gene-set enrichment analysis to gene networks
por: Alexeyenko, Andrey, et al.
Publicado: (2012)

A novel method for cross-species gene expression analysis
por: Kristiansson, Erik, et al.
Publicado: (2013)

DECODE: an integrated differential co-expression and differential expression analysis of gene expression data
por: Lui, Thomas WH, et al.
Publicado: (2015)

Empirical validation of the S-Score algorithm in the analysis of gene expression data
por: Kennedy, Richard E, et al.
Publicado: (2006)

Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution
por: Moretti, Stefano, et al.
Publicado: (2008)

A comparison and evaluation of five biclustering algorithms by quantifying goodness of biclusters for gene expression data
por: Li, Li, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_4aj4dugifs80futmbbv0f6ofue