D. R. Bickel, “Estimating the null distribution for conditional inference and genome-scale screening,” Technical Report, Ottawa Institute of Systems Biology, arXiv.org:0910.0745 (2009). Full preprint
Shrinkage estimation vs. testing
23 August 2009Z. Montazeri, C. M. Yanofsky, and D. R. Bickel [the first two authors contributed equally], “Shrinkage estimation of gene expression fold change as an alternative to testing hypotheses of equivalent expression,” Technical Report, Ottawa Institute of Systems Biology, COBRA Preprint Series, Article 60, available at tinyurl.com/mwhnj2 (2009). Full preprint
Coherent frequentism
2 July 2009D. R. Bickel, “Coherent frequentism,” Technical Report, Ottawa Institute of Systems Biology, arXiv.org:0907.0139 (2009). Full preprint
Gene network reconstruction from transcriptional dynamics
28 March 2009D. R. Bickel, Z. Montazeri, P.-C. Hsieh, M. Beatty, S. J. Lawit, and N. J. Bate, “Gene network reconstruction from transcriptional dynamics under kinetic model uncertainty: A case for the second derivative,” Bioinformatics 25, 772-779 (2009).
Fold change estimation versus hypothesis testing
19 February 2009D. R. Bickel and C. M. Yanofsky, “Validation of differential gene expression algorithms: Application comparing fold change estimation to hypothesis testing,” Preprint, Ottawa Institute of Systems Biology, COBRA Preprint Series, Article 50, available at tinyurl.com/bw9jod (2009).
Strength of evidence for composite hypotheses
14 February 2009D. R. Bickel, “The strength of statistical evidence for composite hypotheses with an application to multiple comparisons,” Preprint, Ottawa Institute of Systems Biology, COBRA Preprint Series, Article 49, available at tinyurl.com/7yaysp (2008).
Local false discovery rate software
5 November 2008Zahra Montazeri and David Bickel developed empiricalBayes, an R software bundle that provides a simple solution to the extreme multiple testing problem. It contains two packages:
- localFDR estimates local false discovery rates given a vector of p-values.
- HighProbability determines which p-values are low enough that their alternative hypotheses can be considered highly probable.
Application: cis- & trans-effects on gene expression
4 April 2008M. Guo, S. Yang, M. Rupe, B. Hu, D. R. Bickel, L. Arthur, and O. Smith, “Genome-wide allele-specific expression analysis using Massively Parallel Signature Sequencing (MPSS) reveals cis- and trans-effects on gene expression in maize hybrid meristem tissue,” Plant Molecular Biology 66, 551-563 (2008).
Estimating levels of differential gene expression
10 March 2008D. R. Bickel, “Correcting the estimated level of differential expression for gene selection bias: Application to a microarray study,” Statistical Applications in Genetics and Molecular Biology 7 (1) 10, http://www.bepress.com/sagmb/vol7/iss1/art10 (2008).
Posted by DRB
Posted by DRB
Posted by DRB
Preprint servers for statistical bioinformatics
14 February 2009The COBRA Preprint Series was selected for the dissemination of the Statomics Lab’s working papers because it offers more flexibility than the other main services for statistical genomics preprints: