Statistical analysis of gene expression studies with ordered experimental conditions
SD Peddada, DM Umbach, S Harris - Handbook of statistics, 2012 - Elsevier
In the past decade, the availability of microarray technology for monitoring the expression of
thousands of genes simultaneously has enhanced the ability of scientists to probe …
thousands of genes simultaneously has enhanced the ability of scientists to probe …
Sequential design for microarray experiments
G Durrieu, L Briollais - Journal of the American Statistical …, 2009 - Taylor & Francis
This article features online supplementary material. A critical aspect in the design of
microarray studies is the determination of the sample size necessary to declare genes …
microarray studies is the determination of the sample size necessary to declare genes …
A unified mixed effects model for gene set analysis of time course microarray experiments
Methods for gene set analysis test for coordinated changes of a group of genes involved in
the same biological process or molecular pathway. Higher statistical power is gained for …
the same biological process or molecular pathway. Higher statistical power is gained for …
Statistical issues in microarray analysis
C Sabatti - Current Genomics, 2002 - benthamdirect.com
We review a series of statistical issues that arise in the design of a gene-expression array
experiments in the statistical assessment of which genes are differentially expressed and in …
experiments in the statistical assessment of which genes are differentially expressed and in …
[PDF][PDF] Design and analysis of comparative microarray experiments
This chapter discusses the design and analysis of relatively simple comparative experiments
involving microarrays. Some of the discussion applies to all the most widely used kinds of …
involving microarrays. Some of the discussion applies to all the most widely used kinds of …
Microarray data analysis: a practical approach for selecting differentially expressed genes
DM Mutch, A Berger, R Mansourian, A Rytz… - Genome biology, 2001 - Springer
Background The biomedical community is rapidly developing new methods of data analysis
for microarray experiments, with the goal of establishing new standards to objectively …
for microarray experiments, with the goal of establishing new standards to objectively …
Transformations, background estimation, and process effects in the statistical analysis of microarrays
K Kafadar, T Phang - Computational statistics & data analysis, 2003 - Elsevier
Microarray technology has made available large data sets that can provide information on
gene expression when cells are subjected to various treatments. Before proceeding with a …
gene expression when cells are subjected to various treatments. Before proceeding with a …
Microarray data analysis: an overview of design, methodology, and analysis
AT Weeraratna, DD Taub - Microarray Data Analysis: Methods and …, 2007 - Springer
Microarray analysis results in the gathering of massive amounts of information concerning
gene expression profiles of different cells and experimental conditions. Analyzing these data …
gene expression profiles of different cells and experimental conditions. Analyzing these data …
The analysis of gene expression data: an overview of methods and software
This chapter is a rough map of the book. It provides a concise overview of data-analytic tasks
associated with microarray studies, pointers to chapters that can help perform these tasks …
associated with microarray studies, pointers to chapters that can help perform these tasks …
Identifying differentially expressed genes in cDNA microarray experiments
KA Baggerly, KR Coombes, KR Hess… - Journal of …, 2001 - liebertpub.com
A major goal of microarray experiments is to determine which genes are differentially
expressed between samples. Differential expression has been assessed by taking ratios of …
expressed between samples. Differential expression has been assessed by taking ratios of …