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Publication
576views
16 years 10 months ago
Within-die Process Variations: How Accurately can They Be Statistically Modeled?
Within-die process variations arise during integrated circuit (IC) fabrication in the sub-100nm regime. These variations are of paramount concern as they deviate the performance of...
Brendan Hargreaves, Henrik Hult, Sherief Reda
BMCBI
2007
130views more  BMCBI 2007»
14 years 10 months ago
Reproducibility of microarray data: a further analysis of microarray quality control (MAQC) data
Background: Many researchers are concerned with the comparability and reliability of microarray gene expression data. Recent completion of the MicroArray Quality Control (MAQC) pr...
James J. Chen, Huey-miin Hsueh, Robert R. Delongch...
DATASCIENCE
2002
84views more  DATASCIENCE 2002»
14 years 10 months ago
The application of Principal Component Analysis to materials science data
The relationship between apparently disparate sets of data is a critical component of interpreting materials' behavior, especially in terms of assessing the impact of the mic...
Changwon Suh, Arun Rajagopalan, Xiang Li, Krishna ...
BMCBI
2005
169views more  BMCBI 2005»
14 years 10 months ago
Genetic interaction motif finding by expectation maximization - a novel statistical model for inferring gene modules from synthe
Background: Synthetic lethality experiments identify pairs of genes with complementary function. More direct functional associations (for example greater probability of membership...
Yan Qi 0003, Ping Ye, Joel S. Bader
ECOOP
2012
Springer
13 years 1 months ago
Evaluating the Design of the R Language - Objects and Functions for Data Analysis
R is a dynamic language for statistical computing that combines lazy functional features and object-oriented programming. This rather unlikely linguistic cocktail would probably ne...
Floréal Morandat, Brandon Hill, Leo Osvald,...