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BMCBI
2010
156views more  BMCBI 2010»
13 years 5 months ago
Mathematical model for empirically optimizing large scale production of soluble protein domains
Background: Efficient dissection of large proteins into their structural domains is critical for high throughput proteome analysis. So far, no study has focused on mathematically ...
Eisuke Chikayama, Atsushi Kurotani, Takanori Tanak...
JCB
2007
198views more  JCB 2007»
13 years 4 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
IEEEPACT
2009
IEEE
13 years 11 months ago
SHIP: Scalable Hierarchical Power Control for Large-Scale Data Centers
In today’s data centers, precisely controlling server power consumption is an essential way to avoid system failures caused by power capacity overload or overheating due to incr...
Xiaorui Wang, Ming Chen, Charles Lefurgy, Tom W. K...
USENIX
2008
13 years 7 months ago
Measurement and Analysis of Large-Scale Network File System Workloads
In this paper we present the analysis of two large-scale network file system workloads. We measured CIFS traffic for two enterprise-class file servers deployed in the NetApp data ...
Andrew W. Leung, Shankar Pasupathy, Garth R. Goods...
CSMR
2008
IEEE
13 years 11 months ago
Trend Analysis and Issue Prediction in Large-Scale Open Source Systems
Effort to evolve and maintain a software system is likely to vary depending on the amount and frequency of change requests. This paper proposes to model change requests as time se...
Bénédicte Kenmei, Giuliano Antoniol,...