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KDD
2006
ACM
122views Data Mining» more  KDD 2006»
14 years 7 months ago
Measuring and extracting proximity in networks
Measuring distance or some other form of proximity between objects is a standard data mining tool. Connection subgraphs were recently proposed as a way to demonstrate proximity be...
Yehuda Koren, Stephen C. North, Chris Volinsky
ALMOB
2007
74views more  ALMOB 2007»
13 years 7 months ago
Evaluating deterministic motif significance measures in protein databases
Background: Assessing the outcome of motif mining algorithms is an essential task, as the number of reported motifs can be very large. Significance measures play a central role in...
Pedro Gabriel Ferreira, Paulo J. Azevedo
TMI
1998
75views more  TMI 1998»
13 years 7 months ago
Predicting error in rigid-body, point-based registration
— Guidance systems designed for neurosurgery, hip surgery, and spine surgery, and for approaches to other anatomy that is relatively rigid can use rigid-body transformations to a...
J. Michael Fitzpatrick, Jay B. West, Calvin R. Mau...
IPPS
2006
IEEE
14 years 1 months ago
Compiler and runtime support for predictive control of power and cooling
The low cost of clusters built using commodity components has made it possible for many more users to purchase their own supercomputer. However, even modest-sized clusters make si...
Henry G. Dietz, William R. Dieter
BMCBI
2010
125views more  BMCBI 2010»
13 years 7 months ago
Large-scale prediction of protein-protein interactions from structures
Background: The prediction of protein-protein interactions is an important step toward the elucidation of protein functions and the understanding of the molecular mechanisms insid...
Martial Hue, Michael Riffle, Jean-Philippe Vert, W...