Usefulness and limitations of dK random graph models to predict interactions and functional homogeneity in biological networks under a pseudo-likelihood parameter estimation approach
<p>Abstract</p> <p>Background</p> <p>Many aspects of biological functions can be modeled by biological networks, such as protein interaction networks, metabolic networks, and gene coexpression networks. Studying the statistical properties of these networks in turn allow...
Main Authors: | Luan Yihui, Nunez-Iglesias Juan, Wang Wenhui, Sun Fengzhu |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2009-09-01
|
Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/10/277 |
Similar Items
Undervisermetroen – www.undervisermetro.au.dk
by: Lene Tortzen Bager, et al.
Published: (2012-09-01)
by: Lene Tortzen Bager, et al.
Published: (2012-09-01)
Similar Items
-
Limiting behaviour of random spatial graphs and asymptotically homogeneous RWRE
by: Wade, Andrew R.
Published: (2005) -
In conversation with... Francis D.K. Ching
by: Hugo Barros Costa, et al.
Published: (2015-06-01) -
An empirical study of the maximum pseudo-likelihood for discrete Markov random fields.
by: Fauske, Johannes
Published: (2009) -
A matter of faith.: Dr. D.K. Karanjavala
by: Anita Patel
Published: (2008-01-01) -
Some colouring problems for Pseudo-Random Graphs
by: Gao, Rong
Published: (2008)