Research Topics
Species | Dongxiao ZhuSummaryAffiliation: University of Michigan Country: USA Publications
| Collaborators |
Detail Information
Publications
Structural comparison of metabolic networks in selected single cell organismsDongxiao Zhu
Bioinformatics Program, University of Michigan, Ann Arbor, MI 48109, USA
BMC Bioinformatics 6:8. 2005....
Network constrained clustering for gene microarray dataDongxiao Zhu
Bioinformatics Program, University of Michigan, Ann Arbor, MI 48109, USA
Bioinformatics 21:4014-20. 2005..AVAILABILITY: The clustering method has been implemented in an R package "GeneNT" that is freely available from: http://www.cran.org...
High throughput screening of co-expressed gene pairs with controlled false discovery rate (FDR) and minimum acceptable strength (MAS)Dongxiao Zhu
Bioinformatics Program, University of Michigan, Ann Arbor, MI 48109, USA
J Comput Biol 12:1029-45. 2005..The method has been implemented in an R package "GeneNT" that is freely available from the Comprehensive R Archive Network (CRAN): www.cran.r-project.org/...
Targeting of GFP to newborn rods by Nrl promoter and temporal expression profiling of flow-sorted photoreceptorsMasayuki Akimoto
Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI 48105, USA
Proc Natl Acad Sci U S A 103:3890-5. 2006..Our results provide a framework for establishing gene regulatory networks that lead to mature functional photoreceptors from postmitotic precursors. Differentially expressed rod and cone genes are excellent candidates for retinopathies...
Multivariate correlation estimator for inferring functional relationships from replicated genome-wide dataDongxiao Zhu
Stowers Institute for Medical Research, 1000 E 50th Street, Kansas City, MO 64110, USA
Bioinformatics 23:2298-305. 2007..r-project.org] and Bioconductor [http://www.bioconductor.org/]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online...
Bayesian hierarchical model for large-scale covariance matrix estimationDongxiao Zhu
Stowers Institute for Medical Research, 1000 E 50th Street, Kansas City, MO 64112, USA
J Comput Biol 14:1311-26. 2007..We demonstrate the advantages of our approaches over the traditional approaches using simulations and OMICS data analysis...
A statistical framework for consolidating "sibling" probe sets for Affymetrix GeneChip dataHua Li
Bioinformatics Center, Stowers Institute for Medical Research, 1000 E 50th St, Kansas City, MO 64110, USA
BMC Genomics 9:188. 2008..The most appropriate way of consolidating sibling probe sets suitable for analysis is an open problem. We propose the Analysis of Variance (ANOVA) framework to decide which sibling probe sets can be consolidated...
