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BMCBI
2007
141views more  BMCBI 2007»
14 years 11 months ago
A novel approach to detect hot-spots in large-scale multivariate data
Background: Progressive advances in the measurement of complex multifactorial components of biological processes involving both spatial and temporal domains have made it difficult...
Jianhua Wu, Keith M. Kendrick, Jianfeng Feng
ISCA
2010
IEEE
181views Hardware» more  ISCA 2010»
15 years 4 months ago
ColorSafe: architectural support for debugging and dynamically avoiding multi-variable atomicity violations
In this paper, we propose ColorSafe, an architecture that detects and dynamically avoids single- and multi-variable atomicity violation bugs. The key idea is to group related data...
Brandon Lucia, Luis Ceze, Karin Strauss
JBI
2007
110views Bioinformatics» more  JBI 2007»
14 years 11 months ago
FreeViz - An intelligent multivariate visualization approach to explorative analysis of biomedical data
Visualization can largely improve biomedical data analysis. It plays a crucial role in explorative data analysis and may support various data mining tasks. The paper presents Free...
Janez Demsar, Gregor Leban, Blaz Zupan
KDD
2009
ACM
364views Data Mining» more  KDD 2009»
16 years 8 days ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
BMCBI
2006
115views more  BMCBI 2006»
14 years 11 months ago
Multivariate curve resolution of time course microarray data
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...