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JCB
2007
198views more  JCB 2007»
13 years 5 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
BMCBI
2010
139views more  BMCBI 2010»
13 years 5 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
RECOMB
2005
Springer
14 years 5 months ago
Combinatorial Genetic Regulatory Network Analysis Tools for High Throughput Transcriptomic Data
: A series of genome-scale algorithms and high-performance implementations is described and shown to be useful in the genetic analysis of gene transcription. With them it is possib...
Elissa J. Chesler, Michael A. Langston
DMSN
2006
ACM
13 years 11 months ago
Intelligent system monitoring on large clusters
Modern data centers have a large number of components that must be monitored, including servers, switches/routers, and environmental control systems. This paper describes InteMon,...
Jimeng Sun, Evan Hoke, John D. Strunk, Gregory R. ...
WSNA
2003
ACM
13 years 10 months ago
Analyzing and modeling encryption overhead for sensor network nodes
Recent research in sensor networks has raised security issues for small embedded devices. Security concerns are motivated by the deployment of a large number of sensory devices in...
Prasanth Ganesan, Ramnath Venugopalan, Pushkin Ped...