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» Functional Distances for Genes Based on GO Feature Maps and ...
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BMCBI
2007
141views more  BMCBI 2007»
13 years 6 months ago
HeliCis: a DNA motif discovery tool for colocalized motif pairs with periodic spacing
Background: Correct temporal and spatial gene expression during metazoan development relies on combinatorial interactions between different transcription factors. As a consequence...
Erik Larsson, Per Lindahl, Petter Mostad
BMCBI
2008
86views more  BMCBI 2008»
13 years 6 months ago
Predicting protein linkages in bacteria: Which method is best depends on task
Background: Applications of computational methods for predicting protein functional linkages are increasing. In recent years, several bacteria-specific methods for predicting link...
Anis Karimpour-Fard, Sonia M. Leach, Ryan T. Gill,...
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 6 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
SPIRE
2005
Springer
13 years 11 months ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez
LOCA
2007
Springer
14 years 12 days ago
Inferring the Everyday Task Capabilities of Locations
Abstract. People rapidly learn the capabilities of a new location, without observing every service and product. Instead they map a few observations to familiar clusters of capabili...
Patricia Shanahan, William G. Griswold