Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB002137-03
Application #
6751547
Study Section
Special Emphasis Panel (ZRG1-SNEM-5 (01))
Program Officer
Peng, Grace
Project Start
2002-06-01
Project End
2006-05-31
Budget Start
2004-06-01
Budget End
2006-05-31
Support Year
3
Fiscal Year
2004
Total Cost
$269,848
Indirect Cost
Name
University of Washington
Department
Biostatistics & Other Math Sci
Type
Schools of Arts and Sciences
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Dean, Nema; Raftery, Adrian E (2010) Latent Class Analysis Variable Selection. Ann Inst Stat Math 62:11-35
Chu, Vu T; Gottardo, Raphael; Raftery, Adrian E et al. (2008) MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis. Genome Biol 9:R118
Gottardo, Raphael; Raftery, Adrian E; Yeung, Ka Yee et al. (2006) Bayesian robust inference for differential gene expression in microarrays with multiple samples. Biometrics 62:10-8
Gottardo, Raphael; Besag, Julian; Stephens, Matthew et al. (2006) Probabilistic segmentation and intensity estimation for microarray images. Biostatistics 7:85-99
Forbes, Florence; Peyrard, Nathalie; Fraley, Chris et al. (2006) Model-based region-of-interest selection in dynamic breast MRI. J Comput Assist Tomogr 30:675-87
Yeung, Ka Yee; Bumgarner, Roger E; Raftery, Adrian E (2005) Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data. Bioinformatics 21:2394-402
Li, Qunhua; Fraley, Chris; Bumgarner, Roger E et al. (2005) Donuts, scratches and blanks: robust model-based segmentation of microarray images. Bioinformatics 21:2875-82
Fuentes, Montserrat; Raftery, Adrian E (2005) Model evaluation and spatial interpolation by Bayesian combination of observations with outputs from numerical models. Biometrics 61:36-45
Dean, Nema; Raftery, Adrian E (2005) Normal uniform mixture differential gene expression detection for cDNA microarrays. BMC Bioinformatics 6:173