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mRNA的微阵列分析:实验设计与数据分析基础

Microarray analysis of mRNAs: experimental design and data analysis fundamentals.

作者信息

Mehta Jai Prakash

机构信息

Conway Institute, University College Dublin, Ireland.

出版信息

Methods Mol Biol. 2011;784:27-40. doi: 10.1007/978-1-61779-289-2_3.

Abstract

Microarray technology has made it possible to quantify gene expression of thousands of genes in a single experiment. With the technological advancement, it is now possible to quantify expression of all known genes using a single microarray chip. With this volume of data and the possibility of improper quantification of expression beyond our control, the challenge lies in appropriate experimental design and the data analysis.This chapter describes the different types of experimental design for experiments involving microarray analysis (with their specific advantages and disadvantages). It considers the optimum number of replicates for a particular type of experiment. Additionally, this chapter describes the fundamentals of data analysis and the data analysis pipeline to be followed in most common types of microarray experiment.

摘要

微阵列技术使得在单个实验中对数千个基因的表达进行定量成为可能。随着技术的进步,现在使用单个微阵列芯片就可以对所有已知基因的表达进行定量。面对如此大量的数据以及存在超出我们控制范围的表达定量不当的可能性,挑战在于进行恰当的实验设计和数据分析。本章描述了涉及微阵列分析的实验的不同类型的实验设计(及其特定的优缺点)。它考虑了特定类型实验的最佳重复次数。此外,本章还描述了数据分析的基本原理以及在大多数常见类型的微阵列实验中应遵循的数据分析流程。

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