Literature DB >> 15618531

The 'miss rate' for the analysis of gene expression data.

Jonathan Taylor1, Robert Tibshirani, Bradley Efron.   

Abstract

Multiple testing issues are important in gene expression studies, where typically thousands of genes are compared over two or more experimental conditions. The false discovery rate has become a popular measure in this setting. Here we discuss a complementary measure, the 'miss rate', and show how to estimate it in practice.

Mesh：

Year:  2005        PMID： 15618531     DOI： 10.1093/biostatistics/kxh021

Source DB:  PubMed          Journal:  Biostatistics        ISSN： 1465-4644            Impact factor:   5.899


  24 in total

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4.  A transcriptomic insight into the impacts of mast cells in lung, breast, and colon cancers.

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6.  Using DNA microarrays to assay part function.

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7.  Estimating effect sizes in genome-wide association studies.

Authors:  József Bukszár; Edwin J C G van den Oord
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8.  False-Negative-Rate Based Approach for Selecting Top Single-Nucleotide Polymorphisms in the First Stage of a Two-Stage Genome-Wide Association Study.

Authors:  Zhuying Huang; Jian Wang; Chih-Chieh Wu; Richard S Houlston; Melissa L Bondy; Sanjay Shete
Journal:  Stat Interface       Date:  2011       Impact factor: 0.582

9.  Single nucleotide polymorphism-based genome-wide chromosome copy change, loss of heterozygosity, and aneuploidy in Barrett's esophagus neoplastic progression.

Authors:  Xiaohong Li; Patricia C Galipeau; Carissa A Sanchez; Patricia L Blount; Carlo C Maley; Jessica Arnaudo; Daniel A Peiffer; Dmitry Pokholok; Kevin L Gunderson; Brian J Reid
Journal:  Cancer Prev Res (Phila)       Date:  2008-11

10.  Genomewide analysis of aryl hydrocarbon receptor binding targets reveals an extensive array of gene clusters that control morphogenetic and developmental programs.

Authors:  Maureen A Sartor; Michael Schnekenburger; Jennifer L Marlowe; John F Reichard; Ying Wang; Yunxia Fan; Ci Ma; Saikumar Karyala; Danielle Halbleib; Xiangdong Liu; Mario Medvedovic; Alvaro Puga
Journal:  Environ Health Perspect       Date:  2009-03-24       Impact factor: 9.031
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