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BMCBI
2010
147views more  BMCBI 2010»
13 years 5 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
BMCBI
2006
157views more  BMCBI 2006»
13 years 5 months ago
Comparison of protein interaction networks reveals species conservation and divergence
Background: Recent progresses in high-throughput proteomics have provided us with a first chance to characterize protein interaction networks (PINs), but also raised new challenge...
Zhi Liang, Meng Xu, Maikun Teng, Liwen Niu
BMCBI
2007
172views more  BMCBI 2007»
13 years 5 months ago
Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...
JCB
2000
146views more  JCB 2000»
13 years 5 months ago
Bayesian Segmentation of Protein Secondary Structure
We present a novel method for predicting the secondary structure of a protein from its amino acid sequence. Most existing methods predict each position in turn based on a local wi...
Scott C. Schmidler, Jun S. Liu, Douglas L. Brutlag
TCBB
2011
13 years 4 days ago
A Partial Set Covering Model for Protein Mixture Identification Using Mass Spectrometry Data
—Protein identification is a key and essential step in mass spectrometry (MS) based proteome research. To date, there are many protein identification strategies that employ eithe...
Zengyou He, Can Yang, Weichuan Yu