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» Extracting Fractal Features for Analyzing Protein Structure
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BMCBI
2010
118views more  BMCBI 2010»
13 years 7 months ago
Walk-weighted subsequence kernels for protein-protein interaction extraction
Background: The construction of interaction networks between proteins is central to understanding the underlying biological processes. However, since many useful relations are exc...
Seonho Kim, Juntae Yoon, Jihoon Yang, Seog Park
IJCAI
1997
13 years 9 months ago
Structural Inferences from Massive Datasets
High-level understanding of data must involve the interplay between substantial prior knowledge with geometric and statistical techniques. Our approach emphasizes the recovery of ...
Kenneth Yip
IJCNLP
2005
Springer
14 years 1 months ago
Relation Extraction Using Support Vector Machine
This paper presents a supervised approach for relation extraction. We apply Support Vector Machines to detect and classify the relations in Automatic Content Extraction (ACE) corpu...
Gum-Won Hong
CORR
2006
Springer
93views Education» more  CORR 2006»
13 years 7 months ago
Functional dissipation microarrays for classification
In this article, we describe a new method of extracting information from signals, called functional dissipation, that proves to be very effective for enhancing classification of h...
D. Napoletani, Daniele C. Struppa, T. Sauer, V. Mo...
BMCBI
2005
116views more  BMCBI 2005»
13 years 7 months ago
WEBnm@: a web application for normal mode analyses of proteins
Background: Normal mode analysis (NMA) has become the method of choice to investigate the slowest motions in macromolecular systems. NMA is especially useful for large biomolecula...
Siv Midtun Hollup, Gisle Sælensminde, Nathal...