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KDD
1995
ACM
193views Data Mining» more  KDD 1995»
13 years 9 months ago
Analyzing the Benefits of Domain Knowledge in Substructure Discovery
Discovering repetitive, interesting, and functional substructures in a structural database improves the ability to interpret and compress the data. However, scientists working wit...
Surnjani Djoko, Diane J. Cook, Lawrence B. Holder
GCB
2000
Springer
99views Biometrics» more  GCB 2000»
13 years 9 months ago
Structure Motif Discovery and Mining the PDB
We describe an algorithm for the automatic discovery of recurring patterns in protein structures. The patterns consist of individual residues having a defined order along the prote...
Inge Jonassen, Ingvar Eidhammer, Darrell Conklin, ...
MVA
2010
130views Computer Vision» more  MVA 2010»
13 years 3 months ago
Neighborhood linear embedding for intrinsic structure discovery
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
Shuzhi Sam Ge, Feng Guan, Yaozhang Pan, Ai Poh Loh
JMLR
2010
115views more  JMLR 2010»
13 years 4 days ago
Bayesian structure discovery in Bayesian networks with less space
Current exact algorithms for score-based structure discovery in Bayesian networks on n nodes run in time and space within a polynomial factor of 2n . For practical use, the space ...
Pekka Parviainen, Mikko Koivisto
BMCBI
2007
100views more  BMCBI 2007»
13 years 5 months ago
Discovering structural motifs using a structural alphabet: Application to magnesium-binding sites
Background: For many metalloproteins, sequence motifs characteristic of metal-binding sites have not been found or are so short that they would not be expected to be metal-specifi...
Minko Dudev, Carmay Lim