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DCC
2005
IEEE
14 years 7 months ago
Lossless Data Compression Using Optimal Tree Machines
We discuss a lossless data compression system that uses fixed Tree Machines to encode data. The idea is to create a sequence of Tree Machines and a robust escape method aimed at p...
Gergely Korodi, Jorma Rissanen, Ioan Tabus
RECOMB
2002
Springer
14 years 8 months ago
Probabilistic hierarchical clustering for biological data
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Eran Segal, Daphne Koller
ISMB
1996
13 years 9 months ago
The Megaprior Heuristic for Discovering Protein Sequence Patterns
Several computeralgorithms for discovering patterns in groups of protein sequences are in use that are basedon fitting the parametersof a statistical model to a group of related s...
Timothy L. Bailey, Michael Gribskov
ICPR
2010
IEEE
13 years 11 months ago
Spatial Representation for Efficient Sequence Classification
We present a general, simple feature representation of sequences that allows efficient inexact matching, comparison and classification of sequential data. This approach, recently ...
Pavel Kuksa, Vladimir Pavlovic
BMCBI
2007
125views more  BMCBI 2007»
13 years 7 months ago
Statistical tests to compare motif count exceptionalities
Background: Finding over- or under-represented motifs in biological sequences is now a common task in genomics. Thanks to p-value calculation for motif counts, exceptional motifs ...
Stéphane Robin, Sophie Schbath, Vincent Van...