Cargando…

Empirical validation of the S-Score algorithm in the analysis of gene expression data

BACKGROUND: Current methods of analyzing Affymetrix GeneChip(® )microarray data require the estimation of probe set expression summaries, followed by application of statistical tests to determine which genes are differentially expressed. The S-Score algorithm described by Zhang and colleagues is an...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kennedy, Richard E, Archer, Kellie J, Miles, Michael F
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2006
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1550434/ https://www.ncbi.nlm.nih.gov/pubmed/16545131 http://dx.doi.org/10.1186/1471-2105-7-154

Ejemplares similares

Modeling Discrete Survival Time Using Genomic Feature Data
por: Ferber, Kyle, et al.
Publicado: (2015)

Generalized Monotone Incremental Forward Stagewise Method for Modeling Count Data: Application Predicting Micronuclei Frequency
por: Makowski, Mateusz, et al.
Publicado: (2015)

ordinalgmifs: An R Package for Ordinal Regression in High-dimensional Data Settings
por: Archer, Kellie J, et al.
Publicado: (2014)

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

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

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

The partitioned LASSO-patternsearch algorithm with application to gene expression data
por: Shi, Weiliang, et al.
Publicado: (2012)

Graphical technique for identifying a monotonic variance stabilizing transformation for absolute gene intensity signals
por: Archer, Kellie J, et al.
Publicado: (2004)

Empirical array quality weights in the analysis of microarray data
por: Ritchie, Matthew E, et al.
Publicado: (2006)

An empirical method to cluster objective nebulizer adherence data among adults with cystic fibrosis
por: Hoo, Zhe H, et al.
Publicado: (2017)

Validation of algorithms to detect distant metastases in men with prostate cancer using routine registry data in Denmark
por: Ehrenstein, Vera, et al.
Publicado: (2015)

Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews
por: Turner, Rebecca M, et al.
Publicado: (2012)

Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing
por: Yanofsky, Corey M, et al.
Publicado: (2010)

Geostatistical analysis of disease data: estimation of cancer mortality risk from empirical frequencies using Poisson kriging
por: Goovaerts, Pierre
Publicado: (2005)

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

SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
por: Van den Bulcke, Tim, et al.
Publicado: (2006)

A robustness metric for biological data clustering algorithms
por: Lu, Yuping, et al.
Publicado: (2019)

Penalized Ordinal Regression Methods for Predicting Stage of Cancer in High-Dimensional Covariate Spaces
por: Gentry, Amanda Elswick, et al.
Publicado: (2015)

Gene expression model (in)validation by Fourier analysis
por: Konopka, Tomasz, et al.
Publicado: (2010)

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

Empirical study of supervised gene screening
por: Ma, Shuangge
Publicado: (2006)

A new unsupervised gene clustering algorithm based on the integration of biological knowledge into expression data
por: Verbanck, Marie, et al.
Publicado: (2013)

Stochastic modeling of empirical time series of childhood infectious diseases data before and after mass vaccination
por: Trottier, Helen, et al.
Publicado: (2006)

SN algorithm: analysis of temporal clinical data for mining periodic patterns and impending augury
por: Sengupta, Dipankar, et al.
Publicado: (2013)

Empirical mode decomposition with missing values
por: Kim, Donghoh, et al.
Publicado: (2016)

Monitoring county-level chlamydia incidence in Texas, 2004 – 2005: application of empirical Bayesian smoothing and Exploratory Spatial Data Analysis (ESDA) methods
por: Owusu-Edusei, Kwame, et al.
Publicado: (2009)

An empirically driven data reduction method on the human 450K methylation array to remove tissue specific non-variable CpGs
por: Edgar, Rachel D., et al.
Publicado: (2017)

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

Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate visualization
por: Cheng, Kin-On, et al.
Publicado: (2008)

A scalable algorithm for structure identification of complex gene regulatory network from temporal expression data
por: Gui, Shupeng, et al.
Publicado: (2017)

Gene set analysis for longitudinal gene expression data
por: Zhang, Ke, et al.
Publicado: (2011)

Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction
por: Dai, Hongying, et al.
Publicado: (2013)

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

Peak event analysis: a novel empirical method for the evaluation of elevated particulate events
por: Orkin, Aaron, et al.
Publicado: (2013)

β-empirical Bayes inference and model diagnosis of microarray data
por: Hossain Mollah, Mohammad Manir, et al.
Publicado: (2012)

Mining biological information from 3D short time-series gene expression data: the OPTricluster algorithm
por: Tchagang, Alain B, et al.
Publicado: (2012)

Multiple network algorithm for epigenetic modules via the integration of genome-wide DNA methylation and gene expression data
por: Ma, Xiaoke, et al.
Publicado: (2017)

iSeg: an efficient algorithm for segmentation of genomic and epigenomic data
por: Girimurugan, Senthil B., et al.
Publicado: (2018)

An Empirical Prior Improves Accuracy for Bayesian Estimation of Transcription Factor Binding Site Frequencies within Gene Promoters
por: Ramsey, Stephen A.
Publicado: (2016)

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

Cannot write session to /tmp/vufind_sessions/sess_t4tm9luhoj0v5slt003uehgdra