Cargando…

Filtering for increased power for microarray data analysis

BACKGROUND: Due to the large number of hypothesis tests performed during the process of routine analysis of microarray data, a multiple testing adjustment is certainly warranted. However, when the number of tests is very large and the proportion of differentially expressed genes is relatively low, t...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hackstadt, Amber J, Hess, Ann M
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2009
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2661050/ https://www.ncbi.nlm.nih.gov/pubmed/19133141 http://dx.doi.org/10.1186/1471-2105-10-11

Ejemplares similares

Filtering genes to improve sensitivity in oligonucleotide microarray data analysis
por: Calza, Stefano, et al.
Publicado: (2007)

Effects of filtering by Present call on analysis of microarray experiments
por: McClintick, Jeanette N, et al.
Publicado: (2006)

Filtering, FDR and power
por: van Iterson, Maarten, et al.
Publicado: (2010)

Microarray image analysis: background estimation using quantile and morphological filters
por: Bengtsson, Anders, et al.
Publicado: (2006)

Adaptive filtering of microarray gene expression data based on Gaussian mixture decomposition
por: Marczyk, Michal, et al.
Publicado: (2013)

FiGS: a filter-based gene selection workbench for microarray data
por: Hwang, Taeho, et al.
Publicado: (2010)

A close examination of double filtering with fold change and t test in microarray analysis
por: Zhang, Song, et al.
Publicado: (2009)

Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovarian and breast cancer
por: Aris, Virginie M, et al.
Publicado: (2004)

Using Pre-existing Microarray Datasets to Increase Experimental Power: Application to Insulin Resistance
por: Daigle, Bernie J., et al.
Publicado: (2010)

Factors Influencing the Statistical Power of Complex Data Analysis Protocols for Molecular Signature Development from Microarray Data
por: Aliferis, Constantin F., et al.
Publicado: (2009)

Reuse of imputed data in microarray analysis increases imputation efficiency
por: Kim, Ki-Yeol, et al.
Publicado: (2004)

Passive Power Filters
por: Künzi, R.
Publicado: (2016)

A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
por: Yang, Pengyi, et al.
Publicado: (2010)

A comparative study of improvements Pre-filter methods bring on feature selection using microarray data
por: Wang, Yingying, et al.
Publicado: (2014)

An adaptive alpha spending algorithm improves the power of statistical inference in microarray data analysis
por: Brand, Jacob P L, et al.
Publicado: (2007)

Experimental Studies of PowerCore Filters and Pleated Filter Baffles
por: Dziubak, Tadeusz
Publicado: (2022)

Power and sample size estimation in microarray studies
por: Lin, Wei-Jiun, et al.
Publicado: (2010)

Improving reliability and absolute quantification of human brain microarray data by filtering and scaling probes using RNA-Seq
por: Miller, Jeremy A, et al.
Publicado: (2014)

Increased comparability between RNA-Seq and microarray data by utilization of gene sets
por: van der Kloet, Frans M., et al.
Publicado: (2020)

Improved filtering of DNA methylation microarray data by detection p values and its impact on downstream analyses
por: Heiss, Jonathan A., et al.
Publicado: (2019)

Reproducibility of microarray data: a further analysis of microarray quality control (MAQC) data
por: Chen, James J, et al.
Publicado: (2007)

Outcome-Driven Cluster Analysis with Application to Microarray Data
por: Hsu, Jessie J., et al.
Publicado: (2015)

The miracle of microarray data analysis
por: Leung, Yuk Fai, et al.
Publicado: (2001)

Filter Effects and Filter Artifacts in the Analysis of Electrophysiological Data
por: Widmann, Andreas, et al.
Publicado: (2012)

Protein and Chemical Microarrays—Powerful Tools for Proteomics
por: Xu, Qingchai, et al.
Publicado: (2003)

An Empirical Study of Univariate and Genetic Algorithm-Based Feature Selection in Binary Classification with Microarray Data
por: Lecocke, Michael, et al.
Publicado: (2007)

Bayesian Pathway Analysis of Cancer Microarray Data
por: Korucuoglu, Melike, et al.
Publicado: (2014)

Experimental Design and Analysis of Microarray Data
por: Wilson, Claire H., et al.
Publicado: (2006)

Uninterruptible Power Supplies and Active Filters
por: Emadi, Ali
Publicado: (2004)

Power system harmonics and passive filter designs
por: Das, J C
Publicado: (2015)

Loadings of the filter components for the PFW power supply
por: Ramsbottom, Μ J
Publicado: (1976)

Direct integration of intensity-level data from Affymetrix and Illumina microarrays improves statistical power for robust reanalysis
por: Turnbull, Arran K, et al.
Publicado: (2012)

Analysis of probe level patterns in Affymetrix microarray data
por: Cambon, Alexander C, et al.
Publicado: (2007)

On Power Idealization Filter Topologies of Lattice Implication Algebras
por: Bai, Shi-Zhong, et al.
Publicado: (2014)

Low Power Adder Based Auditory Filter Architecture
por: Rahiman, P. F. Khaleelur, et al.
Publicado: (2014)

A power law global error model for the identification of differentially expressed genes in microarray data
por: Pavelka, Norman, et al.
Publicado: (2004)

Data analysis tools for DNA microarrays
por: Drăghici, Sorin
Publicado: (2003)

Integrated analysis of the heterogeneous microarray data
por: Yi, Sung Gon, et al.
Publicado: (2011)

Microarray Data Analysis and Mining Tools
por: Selvaraj, Saravanakumar, et al.
Publicado: (2011)

Data Analysis Strategies for Protein Microarrays
por: Díez, Paula, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_lgbcv5fl2ul94tj5bmff9sddv1