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BMCBI
2004
106views more  BMCBI 2004»
13 years 5 months ago
Spotting effect in microarray experiments
Background: Microarray data must be normalized because they suffer from multiple biases. We have identified a source of spatial experimental variability that significantly affects...
Tristan Mary-Huard, Jean-Jacques Daudin, Sté...
CLOUDCOM
2010
Springer
13 years 3 months ago
Voronoi-Based Geospatial Query Processing with MapReduce
Geospatial queries (GQ) have been used in a wide variety of applications such as decision support systems, profile-based marketing, bioinformatics and GIS. Most of the existing qu...
Afsin Akdogan, Ugur Demiryurek, Farnoush Banaei Ka...
VIS
2009
IEEE
246views Visualization» more  VIS 2009»
14 years 7 months ago
Supercubes: A High-Level Primitive for Diamond Hierarchies
Abstract-- Volumetric datasets are often modeled using a multiresolution approach based on a nested decomposition of the domain into a polyhedral mesh. Nested tetrahedral meshes ge...
Kenneth Weiss, Leila De Floriani
BMCBI
2010
202views more  BMCBI 2010»
13 years 5 months ago
NeMo: Network Module identification in Cytoscape
Background: As the size of the known human interactome grows, biologists increasingly rely on computational tools to identify patterns that represent protein complexes and pathway...
Corban G. Rivera, Rachit Vakil, Joel S. Bader
IDA
2007
Springer
13 years 5 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka