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y 基礎分

在家也能作的分析

董建億

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System requirement

Hardware :

CPU: at least P4

4Gb RAM in 64-bite OS is strongly recommended! But, with great patience, 2 Gb in 32-bit OS is OK.

Software:

R GUI environment

http://cran.csie.ntu.edu.tw/ MultiExperimentViewer

http://sourceforge.net/projects/mev-tm4/files/latest/download LucasLazyPack.Zip

http://lucas.genome-analyst.org/tools/lucaslazypack

Software Installation

• Download MeV and Unzip in your Hard Drive (ex. D:\ )

• Download LucasLazyPack.zip and unzip into R folder of MeV (D:\MeV_x_x_x\R-x.x.x)

• Run RunMeFirst.bat/.sh

Visit the web site for related materials:

http://lucas.genome-analyst.org/activities-articles/course/nrpb2011q4

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General Analysis workflow

Data preprocessing

Normalization

Signal adjustment (flag, flooring…) Probe summarization

Signal transform (fold change, log transform)

Data QC/QA

QC index (Hybridization control) Visualization (PCA, MDS, Box plot..)

Find differentially expressed genes

Statistical analysis p-Value correction

Biological interpretation

Gene annotation Gene set analysis Gene network analysis

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Data preprocessing and QC/QA

Normalization

Load CEL files

Select normalization algorithms Show QC report

Save result

Signal Flooring

Load data file (Signal matrix) Select flooring level

Save result

Multidimensional scaling

Load Data matrix Assign data point Show MDS plot

Principle Component Analysis (MeV)

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Two samples (ratio)

One class sample

Two class sample

 t-test(Welch’s t test)

 limma

Multiple Classes sample

 One way ANOVA

 Limma

Pair comparison

 paired t-test

Time course

Clustering (by MeV)

Hierarchical Clustering

Self-Organization Map

K-mean/median analysis

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参照

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