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» Filtering, FDR and power
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BMCBI
2010
165views more  BMCBI 2010»
13 years 4 months ago
Filtering, FDR and power
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...
Maarten van Iterson, Judith M. Boer, Renée ...
BMCBI
2007
120views more  BMCBI 2007»
13 years 4 months ago
Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures
Background: When conducting multiple hypothesis tests, it is important to control the number of false positives, or the False Discovery Rate (FDR). However, there is a tradeoff be...
Xin Lu, David L. Perkins
ISCA
2003
IEEE
116views Hardware» more  ISCA 2003»
13 years 9 months ago
A "Flight Data Recorder" for Enabling Full-System Multiprocessor Deterministic Replay
Debuggers have been proven indispensable in improving software reliability. Unfortunately, on most real-life software, debuggers fail to deliver their most essential feature — a...
Min Xu, Rastislav Bodík, Mark D. Hill
ICECCS
2005
IEEE
125views Hardware» more  ICECCS 2005»
13 years 10 months ago
Model Checking Live Sequence Charts
Live Sequence Charts (LSCs) are a broad extension to Message Sequence Charts (MSCs) to capture complex interobject communication rigorously. A tool support for LSCs, named PlayEng...
Jun Sun 0001, Jin Song Dong
BMCBI
2006
154views more  BMCBI 2006»
13 years 4 months ago
An improved procedure for gene selection from microarray experiments using false discovery rate criterion
Background: A large number of genes usually show differential expressions in a microarray experiment with two types of tissues, and the p-values of a proper statistical test are o...
James J. Yang, Mark C. K. Yang