2004 • Normalization of Real-Time Quantitative Reverse Transcription-PCR Data: A Model-Based Variance Estimation Approach to Identify Genes Suited for Normalization, Applied to Bladder and Colon Cancer Data Sets
Authors: Andersen, Claus Lindbjerg; Jensen, Jens Ledet; Ørntoft, Torben Falck
Venue: Cancer Research
Type: Publication
Abstract: Abstract Accurate normalization is an absolute prerequisite for correct measurement of gene expression. For quantitative real-time reverse transcription-PCR (RT-PCR), the most commonly used normalization strategy involves standardization to a single constitutively expressed control gene. However, in recent years, it has become clear that no single gene is constitutively expressed in all cell types and under all experimental conditions, implying that the expression stability of the intended control gene has to be verified before each experiment.... (read more)
Impact:
1.5455502E-6 2.7079244E-7 5537 70
/ Attention: 0 50
Topics:  Computational biology Bioinformatics Genetics
DOI: 10.1158/0008-5472.can-04-0496
External links: Crossref OpenAIRE
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