You can get various gene _expression_ profiles from Gene _expression_ Omnibus (http://www.ncbi.nlm.nih.gov/geo/), Stanford Microarray Database (http://genome-www5.stanford.edu/), ArrayExpress at EBI (http://www.ebi.ac.uk/microarray-as/aer/?#ae-main[0]), etc.
Kyu-Baek Hwang
Full-time Lecturer at Division of Computing
Soongsil University, Korea
--------------------------------------- [ Original Message ] --------------------------------------
Sender : Santosh Srivastava < [EMAIL PROTECTED] >
To : Rich Neo < [EMAIL PROTECTED] >
CC : [email protected]
Date : 2008-02-15 04:54:47
S u b j e c t : Re: [UAI] analyzing gene _expression_ data
This area has an interesting biology and could be a good research area
from machine learning perspective. I am also interested to know how to
analyze gene _expression_ data using graphical model and other machine
learning techniques. It is good if there is any good review paper out
there. Plus I am wondering is there any website (similar to UCI machine
learning repository) from where you can download rich varieties of gene
_expression_ data?
-Santosh
Computational Biology
Fred Hutchinson Cancer Research Center
On Tue, 12 Feb 2008, Rich Neo wrote:
> Dear Colleagues,
> I would be interested in learning of any recent research concerning
>the use of Bayesian networks to analyze gene _expression_ data.
> Thanks much,
> Rich
> Richard E. Neapolitan
> Professor and Chair of Computer Science
> Northeastern Illinois University
> 5500 N. St. Louis
> Chicago, Il 60625
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