Newton R - Search Results

1

Analysis of dysplasia in patients with Barrett's esophagus based on expression pattern of 90 genes.

Varghese S, Newton R, Ross-Innes CS, Lao-Sirieix P, Krishnadath KK, O'Donovan M, Novelli M, Wernisch L, Bergman J, Fitzgerald RC. Varghese S, et al. Among authors: newton r. Gastroenterology. 2015 Nov;149(6):1511-1518.e5. doi: 10.1053/j.gastro.2015.07.053. Epub 2015 Aug 3. Gastroenterology. 2015. PMID: 26248086

2

DNA methylation as an adjunct to histopathology to detect prevalent, inconspicuous dysplasia and early-stage neoplasia in Barrett's esophagus.

Alvi MA, Liu X, O'Donovan M, Newton R, Wernisch L, Shannon NB, Shariff K, di Pietro M, Bergman JJ, Ragunath K, Fitzgerald RC. Alvi MA, et al. Among authors: newton r. Clin Cancer Res. 2013 Feb 15;19(4):878-88. doi: 10.1158/1078-0432.CCR-12-2880. Epub 2012 Dec 14. Clin Cancer Res. 2013. PMID: 23243219 Free PMC article.

3

The Discovery and Validation of Biomarkers for the Diagnosis of Esophageal Squamous Dysplasia and Squamous Cell Carcinoma.

Couch G, Redman JE, Wernisch L, Newton R, Malhotra S, Dawsey SM, Lao-Sirieix P, Fitzgerald RC. Couch G, et al. Among authors: newton r. Cancer Prev Res (Phila). 2016 Jul;9(7):558-66. doi: 10.1158/1940-6207.CAPR-15-0379. Epub 2016 Apr 12. Cancer Prev Res (Phila). 2016. PMID: 27072986 Free PMC article.

4

Testing the utility of an integrated analysis of copy number and transcriptomics datasets for inferring gene regulatory relationships.

Goh XY, Newton R, Wernisch L, Fitzgerald R. Goh XY, et al. Among authors: newton r. PLoS One. 2013 May 30;8(5):e63780. doi: 10.1371/journal.pone.0063780. Print 2013. PLoS One. 2013. PMID: 23737949 Free PMC article.

5

A meta-analysis of multiple matched copy number and transcriptomics data sets for inferring gene regulatory relationships.

Newton R, Wernisch L. Newton R, et al. PLoS One. 2014 Aug 22;9(8):e105522. doi: 10.1371/journal.pone.0105522. eCollection 2014. PLoS One. 2014. PMID: 25148247 Free PMC article.

6

Investigating inter-chromosomal regulatory relationships through a comprehensive meta-analysis of matched copy number and transcriptomics data sets.

Newton R, Wernisch L. Newton R, et al. BMC Genomics. 2015 Nov 18;16:967. doi: 10.1186/s12864-015-2100-5. BMC Genomics. 2015. PMID: 26581858 Free PMC article.

7

A meta-analysis of multiple matched aCGH/expression cancer datasets reveals regulatory relationships and pathway enrichment of potential oncogenes.

Newton R, Wernisch L. Newton R, et al. PLoS One. 2019 Jul 23;14(7):e0213221. doi: 10.1371/journal.pone.0213221. eCollection 2019. PLoS One. 2019. PMID: 31335867 Free PMC article.

8

Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction.

Bornschein J, Wernisch L, Secrier M, Miremadi A, Perner J, MacRae S, O'Donovan M, Newton R, Menon S, Bower L, Eldridge MD, Devonshire G, Cheah C, Turkington R, Hardwick RH, Selgrad M, Venerito M, Malfertheiner P; OCCAMS Consortium; Fitzgerald RC. Bornschein J, et al. Among authors: newton r. Int J Cancer. 2019 Dec 15;145(12):3389-3401. doi: 10.1002/ijc.32384. Epub 2019 May 17. Int J Cancer. 2019. PMID: 31050820 Free PMC article.

9

Empirical Bayesian models for analysing molecular serotyping microarrays.

Newton R, Hinds J, Wernisch L. Newton R, et al. BMC Bioinformatics. 2011 Mar 31;12:88. doi: 10.1186/1471-2105-12-88. BMC Bioinformatics. 2011. PMID: 21453458 Free PMC article.

10

A comparison of machine learning and Bayesian modelling for molecular serotyping.

Newton R, Wernisch L. Newton R, et al. BMC Genomics. 2017 Aug 11;18(1):606. doi: 10.1186/s12864-017-3998-6. BMC Genomics. 2017. PMID: 28800724 Free PMC article.

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