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» Using Bayesian networks to analyze expression data
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BIOINFORMATICS
2011
14 years 1 months ago
When the Web meets the cell: using personalized PageRank for analyzing protein interaction networks
Motivation: Enormous, and constantly increasing quantity of biological information is represented in protein interaction network databases. Most of these data are freely accessibl...
Gábor Iván, Vince Grolmusz
88
Voted
ISMB
2004
14 years 11 months ago
Predicting gene regulation by sigma factors in Bacillus subtilis from genome-wide data
Motivation: Sigma factors regulate the expression of genes in Bacillus subtilis at the transcriptional level. First we assess the ability of currently available gene regulatory ne...
Michiel J. L. de Hoon, Yuko Makita, Seiya Imoto, K...
ICML
2000
IEEE
15 years 10 months ago
Hierarchical Unsupervised Learning
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
Shivakumar Vaithyanathan, Byron Dom
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
13 years 5 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
IPMU
2010
Springer
14 years 8 months ago
Approximation of Data by Decomposable Belief Models
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
Radim Jirousek