Index to our site:

Research

Affy

Papers/Tech. reports

Talks/Posters

Hints/Prejudices

Group Members

Support

Collaborators

Software

Links
 

Statistical problems involving microarray data

1. Imaging.
2. Image analysis.
• Registering the two images.
• Addressing the spots.
• Segmentation of the spots.
3. Quality, I: Images.
4. Controls : positive, negative, genomic, blank.
5. Background
• Subtraction.
• Quality.
6. Housekeeping.
7. Quality, II: Spots.
8. Normalization within an experiment:
• when few genes change.
• when many genes change.
• use of red-green and green-red pairs.
9. Noise.
10. Variability.
11. Bias : Use of "truth".
12. Quality, III: Ratios.
13. Who is up/down?
14. P-values.
15. Planning of experiments:
1. design.
2. sample sizes.
16. Analysis of factorial experiments.
17. Discrimination and allocation.
18. Variable selection.
19. Clustering
• of samples.
• of genes.
20. Time course experiments.
21. Gene networks.
22. Special problems
• Mixture analyses.
• Pooled cDNA vs amplified DNA.

To top

Last modified: Sun Sep 30 22:00:51 PDT 2001
zarray@stat.berkeley.edu