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» Probabilistic topic modeling for genomic data interpretation
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BMCBI
2004
185views more  BMCBI 2004»
14 years 9 months ago
Linear fuzzy gene network models obtained from microarray data by exhaustive search
Background: Recent technological advances in high-throughput data collection allow for experimental study of increasingly complex systems on the scale of the whole cellular genome...
Bahrad A. Sokhansanj, J. Patrick Fitch, Judy N. Qu...
BMCBI
2004
146views more  BMCBI 2004»
14 years 9 months ago
Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
Background: Functional genomics studies are yielding information about regulatory processes in the cell at an unprecedented scale. In the yeast S. cerevisiae, DNA microarrays have...
Feng Gao, Barrett C. Foat, Harmen J. Bussemaker
CSB
2005
IEEE
131views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Current Challenges in Bioimage Database Design
Information technology research has played a significant role in the high-throughput acquisition and analysis of biological information. The tremendous amount of information gath...
Ambuj K. Singh, Arnab Bhattacharya, Vebjorn Ljosa
FLAIRS
2007
14 years 12 months ago
Managing Dynamic Contexts Using Failure-Driven Stochastic Models
We describe an architecture for representing and managing context shifts that supports dynamic data interpretation. This architecture utilizes two layers of learning and three lay...
Nikita A. Sakhanenko, George F. Luger, Carl R. Ste...
HICSS
2010
IEEE
258views Biometrics» more  HICSS 2010»
14 years 9 months ago
An Empirical Comparison of Four Text Mining Methods
The amount of textual data that is available for researchers and businesses to analyze is increasing at a dramatic rate. This reality has led IS researchers to investigate various...
Sangno Lee, Jeff Baker, Jaeki Song, James C. Wethe...