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» A Composite Stabilizing Data Structure
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BMCBI
2008
160views more  BMCBI 2008»
13 years 7 months ago
Predicting cancer involvement of genes from heterogeneous data
Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characte...
Ramon Aragues, Chris Sander, Baldo Oliva
SRDS
2010
IEEE
13 years 5 months ago
Crash-Tolerant Collision-Free Data Aggregation Scheduling for Wireless Sensor Networks
Data aggregation scheduling, or convergecast, is a fundamental pattern of communication in wireless sensor networks (WSNs), where sensor nodes aggregate and relay data to a sink no...
Arshad Jhumka
BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse
Background: Predicting metabolic sites is important in the drug discovery process to aid in rapid compound optimisation. No interactive tool exists and most of the useful tools ar...
Lars Carlsson, Ola Spjuth, Samuel Adams, Robert C....
BMCBI
2007
114views more  BMCBI 2007»
13 years 7 months ago
Large scale statistical inference of signaling pathways from RNAi and microarray data
Background: The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray tec...
Holger Fröhlich, Mark Fellmann, Holger Sü...
ECCV
2004
Springer
14 years 9 months ago
On Refractive Optical Flow
This paper presents a novel generalization of the optical flow equation to the case of refraction, and it describes a method for recovering the refractive structure of an object fr...
Sameer Agarwal, Satya P. Mallick, David J. Kriegma...