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» Filtering, FDR and power
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BMCBI
2010
165views more  BMCBI 2010»
14 years 10 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»
14 years 10 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»
15 years 3 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»
15 years 3 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»
14 years 10 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