Multiple Testing for Pattern Identification, With Applications to Microarray Time-Course Experiments

ISSN： 0162-1459

Source： Journal of the American Statistical Association, Vol.106, Iss.493, 2011-03, pp. : 73-88

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A Lasso-type Robust Variable Selection for Time-Course Microarray Data

By Kim Ji Young

Communications in Statistics: Theory and Methods, Vol. 44, Iss. 7, 2015-04 ,pp. : 1411-1425

Taylor & Francis Ltd

Access to resources Recommend Favorite

Clustering time-course microarray data using functional Bayesian infinite mixture model

By Angelini Claudia

Journal of Applied Statistics, Vol. 39, Iss. 1, 2012-01 ,pp. : 129-149

Taylor & Francis Ltd

Access to resources Recommend Favorite

Identifying Differentially Expressed Genes for Time-course Microarray Data through Functional Data Analysis

By Chen Kun

Statistics in Biosciences, Vol. 2, Iss. 2, 2010-12 ,pp. : 95-119

Springer Publishing Company

Access to resources Recommend Favorite

Incorporating the number of true null hypotheses to improve power in multiple testing: application to gene microarray data

By Hsueh Huey-Miin

Journal of Statistical Computation and Simulation, Vol. 77, Iss. 9, 2007-01 ,pp. : 757-767

Taylor & Francis Ltd

Access to resources Recommend Favorite

Multiple Time Scales and the Lifetime Coefficient of Variation: Engineering Applications

By Kordonsky K.B.

Lifetime Data Analysis, Vol. 3, Iss. 2, 1997-01 ,pp. : 139-156

Springer Publishing Company

Access to resources Recommend Favorite