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» Analysis of Communities of Interest in Data Networks
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AAIM
2007
Springer
118views Algorithms» more  AAIM 2007»
15 years 3 months ago
Significance-Driven Graph Clustering
Abstract. Modularity, the recently defined quality measure for clusterings, has attained instant popularity in the fields of social and natural sciences. We revisit the rationale b...
Marco Gaertler, Robert Görke, Dorothea Wagner
BMCBI
2005
250views more  BMCBI 2005»
14 years 11 months ago
FiatFlux - a software for metabolic flux analysis from 13C-glucose experiments
Background: Quantitative knowledge of intracellular fluxes is important for a comprehensive characterization of metabolic networks and their functional operation. In contrast to d...
Nicola Zamboni, Eliane Fischer, Uwe Sauer
BMCBI
2010
129views more  BMCBI 2010»
14 years 12 months ago
A temporal precedence based clustering method for gene expression microarray data
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in m...
Ritesh Krishna, Chang-Tsun Li, Vicky Buchanan-Woll...
STORAGESS
2005
ACM
15 years 5 months ago
Ensuring data integrity in storage: techniques and applications
Data integrity is a fundamental aspect of storage security and reliability. With the advent of network storage and new technology trends that result in new failure modes for stora...
Gopalan Sivathanu, Charles P. Wright, Erez Zadok
CORR
2006
Springer
112views Education» more  CORR 2006»
14 years 11 months ago
Pull-Based Data Broadcast with Dependencies: Be Fair to Users, not to Items
Broadcasting is known to be an efficient means of disseminating data in wireless communication environments (such as Satellite, mobile phone networks,...). It has been recently ob...
Julien Robert, Nicolas Schabanel