217 search results - page 9 / 44 » Large scale hierarchical clustering of protein sequences |
103
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BMCBI
2010
14 years 11 months ago
2010
Background: The study of protein-small molecule interactions is vital for understanding protein function and for practical applications in drug discovery. To benefit from the rapi...
PRIB
2009
Springer
15 years 5 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
107
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BMCBI
2010
14 years 6 months ago
2010
Background: A new paradigm of biological investigation takes advantage of technologies that produce large high throughput datasets, including genome sequences, interactions of pro...
BIBE
2007
IEEE
15 years 5 months ago
2007
IEEE
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 (...
RECOMB
1998
Springer
15 years 3 months ago
1998
Springer
The task of computing molecular structure from combinations of experimental and theoretical constraints is expensive because of the large number of estimated parameters (the 3D co...