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» Permutation - based statistical tests for multiple hypothese...
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CSDA
2008
102views more  CSDA 2008»
13 years 5 months ago
Step-up and step-down procedures controlling the number and proportion of false positives
In multiple hypotheses testing, it is important to control the probability of rejecting "true" null hypotheses. A standard procedure has been to control the family-wise ...
Paul N. Somerville, Claudia Hemmelmann
BMCBI
2008
179views more  BMCBI 2008»
13 years 5 months ago
Improving the power for detecting overlapping genes from multiple DNA microarray-derived gene lists
Background: In DNA microarray gene expression profiling studies, a fundamental task is to extract statistically significant genes that meet certain research hypothesis. Currently,...
Xutao Deng, Jun Xu, Charles Wang
ISAMI
2010
13 years 3 months ago
A Data Mining Approach for the Detection of High-Risk Breast Cancer Groups
It is widely agreed that complex diseases are typically caused by the joint effects of multiple instead of a single genetic variation. These genetic variations may show very little...
Orlando Anunciação, Bruno C. Gomes, ...
IPSN
2003
Springer
13 years 10 months ago
Hypothesis Testing over Factorizations for Data Association
Abstract. The issue of data association arises frequently in sensor networks; whenever multiple sensors and sources are present, it may be necessary to determine which observations...
Alexander T. Ihler, John W. Fisher III, Alan S. Wi...
BMCBI
2011
12 years 11 months ago
PhyloSim - Monte Carlo simulation of sequence evolution in the R statistical computing environment
Background: The Monte Carlo simulation of sequence evolution is routinely used to assess the performance of phylogenetic inference methods and sequence alignment algorithms. Progr...
Botond Sipos, Tim Massingham, Gregory E. Jordan, N...