Pathway Modeling: New face of Graphical Probabilistic Analysis |
| Somnath Tagore1, Virendra S. Gomase1, Rajat K. De2 |
| 1Department of Bioinformatics, Padmashree Dr. D.Y. Patil University, Plot No-50, Sector-15, CBD Belapur, Navi Mumbai 400614, India |
| 2Machine Intelligence Unit, Indian Statistical Institute, Kolkata 700108, India |
| Corresponding author: |
Virendra S. Gomase, Department of Bioinformatics, Padmashree
Dr. D.Y. Patil University, Plot No-50, Sector-15, CBD Belapur,
Navi Mumbai 400614, India,
Email: virusgene1@yahoo.co.in |
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| Received July 11, 2008; Accepted August 02, 2008; Published August 14, 2008 |
| Citation:Somnath T, , Virendra S, G, Rajat KD (2008) Pathway Modeling: New face of Graphical Probabilistic Analysis. J Proteomics
Bioinform 1: 281-286. doi:10.4172/jpb.1000035 |
| Copyright: © 2008 Somnath T, etal. This is an open-access article distributed under the terms of the Creative Commons
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original
author and source are credited. |
| Abstract |
Pathway analysis is one of the most interesting aspects of Systems Biology. Modeling biological pathways is
interesting as well as difficult to optimize. Various modeling problems of diseases can be successfully analyzed
using this simulation approach. Graphical probabilistic approaches are one of the unique methodologies that are
used for designing and analyzing pathways. We have discussed the various graphical approaches that are actively
involved in pathway modeling. |
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