Microarray Data- Normally Distributed ?

I applied the normality tests on the microarray data (expression values for one gene) and it looks like it is NOT normally distributed contrary to our discussion.

The tests are Andersen-Darling & Kolmogorov-Smirnov. Here are the histograms and test results :

Study Group Schedule Fall 2008

Week	Date	Topic
1	9/3	Statistical Distributions
2	9/8	Normalization
2	9/10	Hypothesis Testing
3	9/15	Hypothesis Testing
3	9/17	Hypothesis Testing
4	9/22	Regression Analysis
4	9/24	Regression Analysis
5	9/29	Matrices, Gaussian Elimination, Vector Spaces (Ch 1&2)
5	10/1	Matrices, Gaussian Elimination, Vector Spaces (Ch 1&2)
6	10/6	Orthogonality and Determinants (Ch 3& 4)
6	10/8	Orthogonality and Determinants (Ch 3& 4)
7	10/13	Eigenvalue and EigenVectors (Ch5)
7	10/15	Eigenvalue and EigenVectors (Ch5)
8	10/20	Positive Definite Matrices (Ch6)
8	10/22	Computations with Matrices (Ch7) if possible else Ch 6
9	10/27	Error Estimation
9	10/29	Error Estimation
10	11/3	Feature Selection
10	11/5	Feature Selection
11	11/10	Kernel Methods (Classification)
11	11/12	Kernel Methods (Classification)
12	11/17	EM Optimization (Clustering)
12	11/19	EM Optimization (Clustering)
13	11/24
13	11/26
14	12/1
14	12/3
15	12/8
15	12/10

Textbooks:

Engineering Statistics: Montgomery, Runger, Hubele

Linear Algebra & its Applications: Gilbert Strang

Study Group Meeting Time

When ? MW 9-10.30am

Where ? Around the CSB lab (BYENG 421[C-D]*)