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BMCBI
2005
112views more  BMCBI 2005»
15 years 6 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
APCSAC
2007
IEEE
15 years 10 months ago
Exploiting Task Temperature Profiling in Temperature-Aware Task Scheduling for Computational Clusters
Many years of CMOS technology scaling have resulted in increased power densities and higher core temperatures. Power and temperature concerns are now considered to be a primary cha...
Daniel C. Vanderster, Amirali Baniasadi, Nikitas J...
ICPP
2007
IEEE
16 years 26 days ago
CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters
Performance and power are critical design constraints in today’s high-end computing systems. Reducing power consumption without impacting system performance is a challenge for t...
Rong Ge, Xizhou Feng, Wu-chun Feng, Kirk W. Camero...
BMCBI
2007
156views more  BMCBI 2007»
15 years 6 months ago
Large-scale clustering of CAGE tag expression data
Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
Kazuro Shimokawa, Yuko Okamura-Oho, Takio Kurita, ...
BMCBI
2006
163views more  BMCBI 2006»
15 years 6 months ago
Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological featur
Background: Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a userdefined list of genes and/or proteins. The strategy exploits annotation data ...
J. R. Semeiks, A. Rizki, Mina J. Bissell, I. Saira...