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BMCBI
2010
147views more  BMCBI 2010»
15 years 1 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...
IPPS
2008
IEEE
15 years 8 months ago
Adaptive Locality-Effective Kernel Machine for protein phosphorylation site prediction
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...
BMCBI
2010
174views more  BMCBI 2010»
15 years 1 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang
108
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ENTCS
2007
82views more  ENTCS 2007»
15 years 1 months ago
A Simple Calculus for Proteins and Cells
The use of process calculi to represent biological systems has led to the design of different formalisms such as brane calculi and κ-calculus. Both have proved to be useful to m...
Cosimo Laneve, Fabien Tarissan
JIB
2006
78views more  JIB 2006»
15 years 1 months ago
Prediction of transcription factor binding to DNA using rule induction methods
In this study, we seek to develop a predictive model for finding the strength of binding between a particular transcription factor (TF) variant and a particular DNA target variant...
Mikael Huss, Karin Nordström