Rogers S - Search Results

1

Incorporating peak grouping information for alignment of multiple liquid chromatography-mass spectrometry datasets.

Wandy J, Daly R, Breitling R, Rogers S. Wandy J, et al. Among authors: rogers s. Bioinformatics. 2015 Jun 15;31(12):1999-2006. doi: 10.1093/bioinformatics/btv072. Epub 2015 Feb 2. Bioinformatics. 2015. PMID: 25649621 Free PMC article.

2

A Bayesian regression approach to the inference of regulatory networks from gene expression data.

Rogers S, Girolami M. Rogers S, et al. Bioinformatics. 2005 Jul 15;21(14):3131-7. doi: 10.1093/bioinformatics/bti487. Epub 2005 May 6. Bioinformatics. 2005. PMID: 15879452

3

The latent process decomposition of cDNA microarray data sets.

Rogers S, Girolami M, Campbell C, Breitling R. Rogers S, et al. IEEE/ACM Trans Comput Biol Bioinform. 2005 Apr-Jun;2(2):143-56. doi: 10.1109/TCBB.2005.29. IEEE/ACM Trans Comput Biol Bioinform. 2005. PMID: 17044179

4

Probabilistic assignment of formulas to mass peaks in metabolomics experiments.

Rogers S, Scheltema RA, Girolami M, Breitling R. Rogers S, et al. Bioinformatics. 2009 Feb 15;25(4):512-8. doi: 10.1093/bioinformatics/btn642. Epub 2008 Dec 18. Bioinformatics. 2009. PMID: 19095699

5

MetAssign: probabilistic annotation of metabolites from LC-MS data using a Bayesian clustering approach.

Daly R, Rogers S, Wandy J, Jankevics A, Burgess KE, Breitling R. Daly R, et al. Among authors: rogers s. Bioinformatics. 2014 Oct;30(19):2764-71. doi: 10.1093/bioinformatics/btu370. Epub 2014 Jun 9. Bioinformatics. 2014. PMID: 24916385 Free PMC article.

6

Stronger findings from mass spectral data through multi-peak modeling.

Suvitaival T, Rogers S, Kaski S. Suvitaival T, et al. Among authors: rogers s. BMC Bioinformatics. 2014 Jun 19;15:208. doi: 10.1186/1471-2105-15-208. BMC Bioinformatics. 2014. PMID: 24947013 Free PMC article.

7

Stronger findings for metabolomics through Bayesian modeling of multiple peaks and compound correlations.

Suvitaival T, Rogers S, Kaski S. Suvitaival T, et al. Among authors: rogers s. Bioinformatics. 2014 Sep 1;30(17):i461-7. doi: 10.1093/bioinformatics/btu455. Bioinformatics. 2014. PMID: 25161234 Free PMC article.

8

Topic modeling for untargeted substructure exploration in metabolomics.

van der Hooft JJ, Wandy J, Barrett MP, Burgess KE, Rogers S. van der Hooft JJ, et al. Among authors: rogers s. Proc Natl Acad Sci U S A. 2016 Nov 29;113(48):13738-13743. doi: 10.1073/pnas.1608041113. Epub 2016 Nov 16. Proc Natl Acad Sci U S A. 2016. PMID: 27856765 Free PMC article.

9

Unsupervised Discovery and Comparison of Structural Families Across Multiple Samples in Untargeted Metabolomics.

van der Hooft JJJ, Wandy J, Young F, Padmanabhan S, Gerasimidis K, Burgess KEV, Barrett MP, Rogers S. van der Hooft JJJ, et al. Among authors: rogers s. Anal Chem. 2017 Jul 18;89(14):7569-7577. doi: 10.1021/acs.analchem.7b01391. Epub 2017 Jul 5. Anal Chem. 2017. PMID: 28621528 Free PMC article.

10

PiMP my metabolome: an integrated, web-based tool for LC-MS metabolomics data.

Gloaguen Y, Morton F, Daly R, Gurden R, Rogers S, Wandy J, Wilson D, Barrett M, Burgess K. Gloaguen Y, et al. Among authors: rogers s. Bioinformatics. 2017 Dec 15;33(24):4007-4009. doi: 10.1093/bioinformatics/btx499. Bioinformatics. 2017. PMID: 28961954 Free PMC article.

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