A powerful and flexible linear mixed model framework for the analysis of relative quantification RT-PCR data

Quantitative reverse transcription polymerase chain reaction (qRT-PCR) is currently viewed as the most precise technique to quantify levels of messenger RNA. Relative quantification compares the expression of a target gene under two or more experimental conditions normalized to the measured expressi...

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Bibliographic Details
Published in:	Genomics (San Diego, Calif.) Vol. 94; no. 2; pp. 146 - 152
Main Authors:	Steibel, Juan Pedro, Poletto, Rosangela, Coussens, Paul M., Rosa, Guilherme J.M.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier Inc 01.08.2009 Elsevier
Subjects:	Biological and medical sciences Computer Simulation Diverse techniques Fundamental and applied biological sciences. Psychology Gene Expression Genes. Genome Genetics of eukaryotes. Biological and molecular evolution Hypothesis testing Linear mixed models Linear Models Molecular and cellular biology Molecular genetics qRT-PCR Reverse Transcriptase Polymerase Chain Reaction - methods Reverse Transcriptase Polymerase Chain Reaction - statistics & numerical data Hypothesis testing Linear mixed models Gene expression qRT-PCR Polymerase chain reaction Genomics Models Reverse transcription polymerase chain reaction Hypothesis
ISSN:	0888-7543, 1089-8646, 1089-8646
Online Access:	Get full text
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