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BMCBI
2010
85views more  BMCBI 2010»
14 years 10 months ago
Robust test method for time-course microarray experiments
Background: In a time-course microarray experiment, the expression level for each gene is observed across a number of time-points in order to characterize the temporal trajectorie...
Insuk Sohn, Kouros Owzar, Stephen L. George, Sujon...
EOR
2007
165views more  EOR 2007»
14 years 10 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
93
Voted
CORR
2011
Springer
167views Education» more  CORR 2011»
14 years 5 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
73
Voted
BMCBI
2010
109views more  BMCBI 2010»
14 years 10 months ago
Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression
Background: In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a comple...
Xiaojiang Xu, Stephen Hoang, Marty W. Mayo, Stefan...
78
Voted
HVEI
2010
14 years 11 months ago
Statistical analysis of subjective preferences for video enhancement
Traditional Thurstone scaling (1927) constructs a perceptual scale from pairwise comparisons without providing statistical inferences. We show that subjective preferences for movi...
Russell L. Woods, PremNandhini Satgunam, P. Matthe...