Sciweavers

119 search results - page 3 / 24
» A unified approach to false discovery rate estimation
Sort
View
ICASSP
2008
IEEE
13 years 11 months ago
Controlling the false discovery rate in modeling brain functional connectivity
Graphical models of brain functional connectivity have matured from con rming a priori hypotheses to an exploratory tool for discovering unknown connectivity. However, exploratory...
Junning Li, Z. Jane Wang, Martin J. McKeown
BMCBI
2006
187views more  BMCBI 2006»
13 years 5 months ago
Detecting outliers when fitting data with nonlinear regression - a new method based on robust nonlinear regression and the false
Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...
Harvey J. Motulsky, Ronald E. Brown
BMCBI
2005
121views more  BMCBI 2005»
13 years 5 months ago
Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
Background: A critical step in processing oligonucleotide microarray data is combining the information in multiple probes to produce a single number that best captures the express...
Kerby Shedden, Wei Chen, Rork Kuick, Debashis Ghos...
BMCBI
2006
95views more  BMCBI 2006»
13 years 5 months ago
A simple method for assessing sample sizes in microarray experiments
In this short article, we discuss a simple method for assessing sample size requirements in microarray experiments. Our method starts with the output from a permutation-based anal...
Robert Tibshirani
BMCBI
2008
108views more  BMCBI 2008»
13 years 5 months ago
Empirical methods for controlling false positives and estimating confidence in ChIP-Seq peaks
Background: High throughput signature sequencing holds many promises, one of which is the ready identification of in vivo transcription factor binding sites, histone modifications...
David A. Nix, Samir J. Courdy, Kenneth M. Boucher