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» Network constrained clustering for gene microarray data
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RECOMB
2002
Springer
15 years 10 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
BMCBI
2007
127views more  BMCBI 2007»
14 years 9 months ago
Characterization and simulation of cDNA microarray spots using a novel mathematical model
Background: The quality of cDNA microarray data is crucial for expanding its application to other research areas, such as the study of gene regulatory networks. Despite the fact t...
Hye Young Kim, Seo Eun Lee, Min Jung Kim, Jin Il H...
EWSN
2007
Springer
15 years 9 months ago
An Energy-Efficient K-Hop Clustering Framework for Wireless Sensor Networks
Many applications in wireless sensor networks (WSNs) benefit significantly from organizing nodes into groups, called clusters, because data aggregation and data filtering applied i...
Quanbin Chen, Jian Ma, Yanmin Zhu, Dian Zhang, Lio...
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
15 years 3 months ago
Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network
In this paper, we investigate and utilize the characteristic of the group movement of objects to achieve energy conservation in the inherently resource-constrained wireless object ...
Hsiao-Ping Tsai, De-Nian Yang, Wen-Chih Peng, Ming...
BMCBI
2006
202views more  BMCBI 2006»
14 years 9 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau