PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Estimating human endogeneous retrovirus activities in various tissues with a hidden Markov mixture model
Merja Oja, Jaakko Peltonen, Jonas Blomberg and Samuel Kaski
In: Intelligent Systems for Molecular Biology & European Conference on Computational Biology 2007 (ISMB/ECCB 2007), 21-25 Jul 2007, Vienna, Austria.

Abstract

Human endogenous retroviruses (HERVs) are ancient viral sequences within the human DNA. Recently, HERV expression has been detected in humans. However, the expression patterns of individual HERVs are mostly unknown. We use a hidden Markov mixture models with EST data for estimating the activities of individual HERVs in various tissues.

EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Theory & Algorithms
ID Code:3517
Deposited By:Jaakko Peltonen
Deposited On:11 February 2008

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