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Software - Proprietary:
Bayesian Decomposition
Synopsis:
Bayesian Decomposition has been designed in order to untangle interacting
signals in many scientific areas, including microarray expression analysis.
Platforms available:
Solaris, Linux, and MacOS X
Download Procedure:
- Download the Materials
Transfer Agreement (MTA)
- Read and understand the form
- Complete the top portion of the MTA with your
- Sign the form. Be sure to include an e-mail address.
- FAX the completed form to Fox Chase Cancer Center, as described
on the MTA:
Fox Chase Cancer Center
Attn: Arlene Capriotti
FAX: 215-728-2553
- Upon acceptance of the completed MTA you will receive by e-mail
a user name and password to access the Bayesian
Decomposition download page.
If you do not receive information for access to our download page
within two (2) weeks please
contact us.
Related Software:
- PattRun - A front-end and visualization program that provides a convenient interface for running Bayesian Decomposition and for viewing the results. The program allows the user to read tab-delimited files for data, uncertainty (optional), class membership (optional), and coregulation (optional), and produces output tab-delimited files if desired. The source code of PattRun is released under the GNU general public (GPL). PattRun is included in the PattTools directory when downloaded.
- ClutrFree
- A cluster viewer package available as a java Application. ClutrFree
provides essentially the ability to compare microarray clusters issued
from different experiments, i.e. the same algorithm used with different
parameters or different algorithms. ClutrFree features a procedure to
construct a tree from those clusters to infer which ones are more stable
among different experiments. Also, ClutrFree displays genes and their
memberships along with annotations and ontology. Source code, pre-compiled
bytecode, documentation and test datasets are provided. The source code
of ClutrFree
is released under the GNU
general public license (GPL).
Publications:
- 'Application of Bayesian Decomposition for analysing microarray data',
T.D. Moloshok, R. R. Klevecz, J. D. Grant, F. J. Manion, W. F. Speier, IV, and M. F. Ochs,
Bioinformatics 18: 566-575, 2002.
- 'Bayesian Decomposition Analysis of Gene Expression in Yeast Deletion Mutants',
Ghislain Bidaut, Thomas D. Moloshok, Jeffrey D. Grant, Frank J. Manion, and Michael F. Ochs,
CAMDA-2001.
Documentation:
Contact Information:
Michael Ochs
550 N. Broadway
Suite 1103
Baltimore, MD 21205
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