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BMCBI
2008
129views more  BMCBI 2008»
13 years 9 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
BMCBI
2008
83views more  BMCBI 2008»
13 years 9 months ago
Integrative bioinformatics analysis of transcriptional regulatory programs in breast cancer cells
Background: Microarray technology has unveiled transcriptomic differences among tumors of various phenotypes, and, especially, brought great progress in molecular understanding of...
Atsushi Niida, Andrew D. Smith, Seiya Imoto, Shuic...
ENVSOFT
2007
127views more  ENVSOFT 2007»
13 years 8 months ago
River model calibration, from guidelines to operational support tools
Numerical modelling is now used routinely to make predictions about the behaviour of environmental systems. Model calibration remains a critical step in the modelling process and ...
Jean-Philippe Vidal, Sabine Moisan, Jean-Baptiste ...
BMCBI
2005
167views more  BMCBI 2005»
13 years 8 months ago
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
Patrick Warnat, Roland Eils, Benedikt Brors
IJCV
1998
105views more  IJCV 1998»
13 years 8 months ago
Robust Algorithms for Object Localization
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
Aaron S. Wallack, Dinesh Manocha