Differential expression--the next generation and beyond. Brief Funct Genomics 2012 Jan;11(1):57-62
Date
01/03/2012Pubmed ID
22210853DOI
10.1093/bfgp/elr041Scopus ID
2-s2.0-84857218267 (requires institutional sign-in at Scopus site) 23 CitationsAbstract
RNA-sequencing (RNA-seq) technologies have not only pushed the boundaries of science, but also pushed the computational and analytic capacities of many laboratories. With respect to mapping and quantifying transcriptomes, RNA-seq has certainly established itself as the approach of choice. However, as the complexities of experiments continue to grow, there is still no standard practice that allows for design, processing, normalization, efficient dimension reduction and/or statistical analysis. With this in mind, we provide a brief review of some of the key challenges that are general to all RNA-seq experiments, namely experimental design, statistical analysis and dimensionality reduction.
Author List
Auer PL, Srivastava S, Doerge RWAuthor
Paul L. Auer PhD Professor in the Institute for Health and Equity department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
Artificial IntelligenceGene Expression Profiling
Multifactor Dimensionality Reduction
Research Design
Statistics as Topic
