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» Classification of microarray data using gene networks
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JMLR
2010
230views more  JMLR 2010»
14 years 9 months ago
Learning Dissimilarities for Categorical Symbols
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
Jierui Xie, Boleslaw K. Szymanski, Mohammed J. Zak...
ILP
2005
Springer
15 years 8 months ago
Machine Learning for Systems Biology
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...
Stephen Muggleton
JCB
2007
198views more  JCB 2007»
15 years 2 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
BMCBI
2005
94views more  BMCBI 2005»
15 years 2 months ago
YANA - a software tool for analyzing flux modes, gene-expression and enzyme activities
Background: A number of algorithms for steady state analysis of metabolic networks have been developed over the years. Of these, Elementary Mode Analysis (EMA) has proven especial...
Roland Schwarz, Patrick Musch, Axel von Kamp, Bern...
NAR
2007
216views more  NAR 2007»
15 years 2 months ago
SYSTOMONAS - an integrated database for systems biology analysis of Pseudomonas
To provide an integrated bioinformatics platform for a systems biology approach to the biology of pseudomonads in infection and biotechnology the database SYSTOMONAS (SYSTems biol...
Claudia Choi, Richard Münch, Stefan Leupold, ...