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BMCBI
2007
108views more  BMCBI 2007»
15 years 3 months ago
Design and implementation of a generalized laboratory data model
Background: Investigators in the biological sciences continue to exploit laboratory automation methods and have dramatically increased the rates at which they can generate data. I...
Michael C. Wendl, Scott Smith, Craig S. Pohl, Davi...
136
Voted
ARTMED
2006
108views more  ARTMED 2006»
15 years 3 months ago
Constructing explanatory process models from biological data and knowledge
We address the task of inducing explanatory models from observations and knowledge about candidate biological processes, using the illustrative problem of modeling photosynthesis ...
Pat Langley, Oren Shiran, Jeff Shrager, Ljupco Tod...
270
Voted
ICDE
2006
IEEE
201views Database» more  ICDE 2006»
16 years 5 months ago
Approximate Data Collection in Sensor Networks using Probabilistic Models
Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has propo...
David Chu, Amol Deshpande, Joseph M. Hellerstein, ...
158
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BMCBI
2010
165views more  BMCBI 2010»
15 years 3 months ago
Bayesian integrated modeling of expression data: a case study on RhoG
Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...
138
Voted
BMCBI
2007
182views more  BMCBI 2007»
15 years 3 months ago
Additive risk survival model with microarray data
Background: Microarray techniques survey gene expressions on a global scale. Extensive biomedical studies have been designed to discover subsets of genes that are associated with ...
Shuangge Ma, Jian Huang