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» Gene function prediction using labeled and unlabeled data
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JCB
2008
90views more  JCB 2008»
14 years 11 months ago
A Simple Model of the Modular Structure of Transcriptional Regulation in Yeast
Resolving the general organizational principles that govern the interactions during transcriptional gene regulation has great relevance for understanding disease progression, biof...
Vladimir Filkov, Nameeta Shah
NAR
2011
225views Computer Vision» more  NAR 2011»
14 years 2 months ago
IsoBase: a database of functionally related proteins across PPI networks
We describe IsoBase, a database identifying functionally related proteins, across five major eukaryotic model organisms: Saccharomyces cerevisiae, Drosophila melanogaster, Caenorh...
Daniel Park, Rohit Singh, Michael Baym, Chung-Shou...
DIS
2009
Springer
15 years 6 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
BMCBI
2006
126views more  BMCBI 2006»
14 years 11 months ago
A joint model of regulatory and metabolic networks
Background: Gene regulation and metabolic reactions are two primary activities of life. Although many works have been dedicated to study each system, the coupling between them is ...
Chen-Hsiang Yeang, Martin Vingron
MIR
2005
ACM
140views Multimedia» more  MIR 2005»
15 years 5 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...