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» Sequential Hierarchical Pattern Clustering
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CANDC
2006
ACM
13 years 7 months ago
Detecting and aligning peaks in mass spectrometry data with applications to MALDI
In this paper, we address the peak detection and alignment problem in the analysis of mass spectrometry data. To deal with the peak redundancy problem existing in the MALDI data a...
Weichuan Yu, Baolin Wu, Ning Lin, Kathy Stone, Ken...
CASCON
2007
106views Education» more  CASCON 2007»
13 years 9 months ago
Identifying active subgroups in online communities
As online communities proliferate, methods are needed to explore and capture patterns of activity within them. This paper focuses on the problem of identifying active subgroups wi...
Alvin Chin, Mark H. Chignell
BMCBI
2008
124views more  BMCBI 2008»
13 years 7 months ago
Inferring modules of functionally interacting proteins using the Bond Energy Algorithm
Background: Non-homology based methods such as phylogenetic profiles are effective for predicting functional relationships between proteins with no considerable sequence or struct...
Ryosuke Watanabe, Enrique Morett, Edgar E. Vallejo
SPAA
1997
ACM
13 years 12 months ago
A Localized Algorithm for Parallel Association Mining
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
ECAI
2004
Springer
14 years 1 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana