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» Alignment using Spectral Clusters
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BIBE
2007
IEEE
128views Bioinformatics» more  BIBE 2007»
14 years 4 months ago
QOMA2: Optimizing the alignment of many sequences
Abstract—We consider the problem of aligning multiple protein sequences with the goal of maximizing the SP (Sum-of-Pairs) score, when the number of sequences is large. The QOMA (...
Xu Zhang, Tamer Kahveci
ALMOB
2006
106views more  ALMOB 2006»
13 years 10 months ago
Multiple sequence alignment with user-defined anchor points
Background: Automated software tools for multiple alignment often fail to produce biologically meaningful results. In such situations, expert knowledge can help to improve the qua...
Burkhard Morgenstern, Sonja J. Prohaska, Dirk P&ou...
PAKDD
2004
ACM
96views Data Mining» more  PAKDD 2004»
14 years 3 months ago
Spectral Energy Minimization for Semi-supervised Learning
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
Chun Hung Li, Zhi-Li Wu
GBRPR
2009
Springer
14 years 4 months ago
Inexact Matching of Large and Sparse Graphs Using Laplacian Eigenvectors
In this paper we propose an inexact spectral matching algorithm that embeds large graphs on a low-dimensional isometric space spanned by a set of eigenvectors of the graph Laplacia...
David Knossow, Avinash Sharma, Diana Mateus, Radu ...
BIBE
2007
IEEE
147views Bioinformatics» more  BIBE 2007»
14 years 4 months ago
A New Alignment-Independent Algorithm for Clustering Protein Sequences
—The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important, the challenge is to identify subfamilies of evolut...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski