Author:
Hung Jui-Hung,Weng Zhiping
Abstract
Gene expression profiling refers to the simultaneous measurement of the expression levels of a large number of genes (often all genes in a genome), typically in multiple experiments spanning a variety of cell types, treatments, or environmental conditions. Expression profiling is accomplished by assaying mRNA levels with microarrays or next-generation sequencing technologies (RNA-seq). This introduction describes normalization and analysis of data generated from microarray or RNA-seq experiments.
Publisher
Cold Spring Harbor Laboratory
Subject
General Biochemistry, Genetics and Molecular Biology
Reference17 articles.
1. Detection of splice junctions from paired-end RNA-seq data by SpliceMap
2. Controlling the false discovery rate: A practical and powerful approach to multiple testing;J R Stat Soc B,1995
3. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
4. Statistical methods for identifying genes with differential expression in replicated cDNA microarray experiments;Stat Sin,2002
5. Visualizing Genomic Annotations with the UCSC Genome Browser
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