Medvedovic M - Search Results

1

Context-specific infinite mixtures for clustering gene expression profiles across diverse microarray dataset.

Liu X, Sivaganesan S, Yeung KY, Guo J, Bumgarner RE, Medvedovic M. Liu X, et al. Among authors: medvedovic m. Bioinformatics. 2006 Jul 15;22(14):1737-44. doi: 10.1093/bioinformatics/btl184. Epub 2006 May 18. Bioinformatics. 2006. PMID: 16709591 Free PMC article.

2

Bayesian infinite mixture model based clustering of gene expression profiles.

Medvedovic M, Sivaganesan S. Medvedovic M, et al. Bioinformatics. 2002 Sep;18(9):1194-206. doi: 10.1093/bioinformatics/18.9.1194. Bioinformatics. 2002. PMID: 12217911

3

Clustering gene-expression data with repeated measurements.

Yeung KY, Medvedovic M, Bumgarner RE. Yeung KY, et al. Among authors: medvedovic m. Genome Biol. 2003;4(5):R34. doi: 10.1186/gb-2003-4-5-r34. Epub 2003 Apr 25. Genome Biol. 2003. PMID: 12734014 Free PMC article.

4

Expression of genes in the TGF-beta signaling pathway is significantly deregulated in smooth muscle cells from aorta of aryl hydrocarbon receptor knockout mice.

Guo J, Sartor M, Karyala S, Medvedovic M, Kann S, Puga A, Ryan P, Tomlinson CR. Guo J, et al. Among authors: medvedovic m. Toxicol Appl Pharmacol. 2004 Jan 1;194(1):79-89. doi: 10.1016/j.taap.2003.09.002. Toxicol Appl Pharmacol. 2004. PMID: 14728982

5

Bayesian mixture model based clustering of replicated microarray data.

Medvedovic M, Yeung KY, Bumgarner RE. Medvedovic M, et al. Bioinformatics. 2004 May 22;20(8):1222-32. doi: 10.1093/bioinformatics/bth068. Epub 2004 Feb 10. Bioinformatics. 2004. PMID: 14871871

6

Different global gene expression profiles in benzo[a]pyrene- and dioxin-treated vascular smooth muscle cells of AHR-knockout and wild-type mice.

Karyala S, Guo J, Sartor M, Medvedovic M, Kann S, Puga A, Ryan P, Tomlinson CR. Karyala S, et al. Among authors: medvedovic m. Cardiovasc Toxicol. 2004;4(1):47-73. doi: 10.1385/ct:4:1:47. Cardiovasc Toxicol. 2004. PMID: 15034205

7

Microarray results improve significantly as hybridization approaches equilibrium.

Sartor M, Schwanekamp J, Halbleib D, Mohamed I, Karyala S, Medvedovic M, Tomlinson CR. Sartor M, et al. Among authors: medvedovic m. Biotechniques. 2004 May;36(5):790-6. doi: 10.2144/04365ST02. Biotechniques. 2004. PMID: 15152598 Free article.

8

From co-expression to co-regulation: how many microarray experiments do we need?

Yeung KY, Medvedovic M, Bumgarner RE. Yeung KY, et al. Among authors: medvedovic m. Genome Biol. 2004;5(7):R48. doi: 10.1186/gb-2004-5-7-r48. Epub 2004 Jun 28. Genome Biol. 2004. PMID: 15239833 Free PMC article.

9

A new method to remove hybridization bias for interspecies comparison of global gene expression profiles uncovers an association between mRNA sequence divergence and differential gene expression in Xenopus.

Sartor MA, Zorn AM, Schwanekamp JA, Halbleib D, Karyala S, Howell ML, Dean GE, Medvedovic M, Tomlinson CR. Sartor MA, et al. Among authors: medvedovic m. Nucleic Acids Res. 2006 Jan 5;34(1):185-200. doi: 10.1093/nar/gkj413. Print 2006. Nucleic Acids Res. 2006. PMID: 16397297 Free PMC article.

10

Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments.

Sartor MA, Tomlinson CR, Wesselkamper SC, Sivaganesan S, Leikauf GD, Medvedovic M. Sartor MA, et al. Among authors: medvedovic m. BMC Bioinformatics. 2006 Dec 19;7:538. doi: 10.1186/1471-2105-7-538. BMC Bioinformatics. 2006. PMID: 17177995 Free PMC article.

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