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» Reconstructing networks using co-temporal functions
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ACMSE
2006
ACM
13 years 11 months ago
Reconstructing networks using co-temporal functions
Reconstructing networks from time series data is a difficult inverse problem. We apply two methods to this problem using co-temporal functions. Co-temporal functions capture mathe...
Edward E. Allen, Anthony Pecorella, Jacquelyn S. F...
GSN
2009
Springer
149views Sensor Networks» more  GSN 2009»
13 years 9 months ago
Spatially-Localized Compressed Sensing and Routing in Multi-hop Sensor Networks
We propose energy-efficient compressed sensing for wireless sensor networks using spatially-localized sparse projections. To keep the transmission cost for each measurement low, we...
Sungwon Lee, Sundeep Pattem, Maheswaran Sathiamoor...
BMCBI
2007
141views more  BMCBI 2007»
13 years 5 months ago
Reconstruction of human protein interolog network using evolutionary conserved network
Background: The recent increase in the use of high-throughput two-hybrid analysis has generated large quantities of data on protein interactions. Specifically, the availability of...
Tao-Wei Huang, Chung-Yen Lin, Cheng-Yan Kao
BMCBI
2011
12 years 8 months ago
Reconstructing genome-wide regulatory network of E. coli using transcriptome data and predicted transcription factor activities
Background: Gene regulatory networks play essential roles in living organisms to control growth, keep internal metabolism running and respond to external environmental changes. Un...
Yao Fu, Laura R. Jarboe, Julie A. Dickerson
ISBI
2006
IEEE
13 years 11 months ago
Using multiple tensor deflection to reconstruct white matter fiber traces with branching
The relationship between brain structure and complex behavior is governed by large-scale neurocognitive networks. Diffusion weighted imaging(DWI) is a noninvasive technique that c...
Weihong Guo, Qingguo Zeng, Yunmei Chen, Yijun Liu