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Items: 1 to 20 of 40

1.
2.

Whole transcriptome profiling of patient-derived xenograft models as a tool to identify both tumor and stromal specific biomarkers.

Bradford JR, Wappett M, Beran G, Logie A, Delpuech O, Brown H, Boros J, Camp NJ, McEwen R, Mazzola AM, D'Cruz C, Barry ST.

Oncotarget. 2016 Apr 12;7(15):20773-87. doi: 10.18632/oncotarget.8014.

3.

Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs.

Wappett M, Dulak A, Yang ZR, Al-Watban A, Bradford JR, Dry JR.

BMC Genomics. 2016 Jan 19;17:65. doi: 10.1186/s12864-016-2375-1.

4.

RNA-Seq Differentiates Tumour and Host mRNA Expression Changes Induced by Treatment of Human Tumour Xenografts with the VEGFR Tyrosine Kinase Inhibitor Cediranib.

Bradford JR, Farren M, Powell SJ, Runswick S, Weston SL, Brown H, Delpuech O, Wappett M, Smith NR, Carr TH, Dry JR, Gibson NJ, Barry ST.

PLoS One. 2013 Jun 19;8(6):e66003. doi: 10.1371/journal.pone.0066003.

5.

Programmed fluctuations in sense/antisense transcript ratios drive sexual differentiation in S. pombe.

Bitton DA, Grallert A, Scutt PJ, Yates T, Li Y, Bradford JR, Hey Y, Pepper SD, Hagan IM, Miller CJ.

Mol Syst Biol. 2011 Dec 20;7:559. doi: 10.1038/msb.2011.90.

6.

Gene function prediction using semantic similarity clustering and enrichment analysis in the malaria parasite Plasmodium falciparum.

Tedder PM, Bradford JR, Needham CJ, McConkey GA, Bulpitt AJ, Westhead DR.

Bioinformatics. 2010 Oct 1;26(19):2431-7. doi: 10.1093/bioinformatics/btq450.

7.

A comparison of massively parallel nucleotide sequencing with oligonucleotide microarrays for global transcription profiling.

Bradford JR, Hey Y, Yates T, Li Y, Pepper SD, Miller CJ.

BMC Genomics. 2010 May 5;11:282. doi: 10.1186/1471-2164-11-282.

8.

An extended set of PRDM1/BLIMP1 target genes links binding motif type to dynamic repression.

Doody GM, Care MA, Burgoyne NJ, Bradford JR, Bota M, Bonifer C, Westhead DR, Tooze RM.

Nucleic Acids Res. 2010 Sep;38(16):5336-50. doi: 10.1093/nar/gkq268.

9.

PlasmoPredict: a gene function prediction website for Plasmodium falciparum.

Tedder PM, Bradford JR, McConkey GA, Bulpitt AJ, Westhead DR.

Trends Parasitol. 2010 Mar;26(3):107-10. doi: 10.1016/j.pt.2009.12.004.

PMID:
20089451
10.

GO-At: in silico prediction of gene function in Arabidopsis thaliana by combining heterogeneous data.

Bradford JR, Needham CJ, Tedder P, Care MA, Bulpitt AJ, Westhead DR.

Plant J. 2010 Feb;61(4):713-21. doi: 10.1111/j.1365-313X.2009.04097.x.

11.

Combining the interactome and deleterious SNP predictions to improve disease gene identification.

Care MA, Bradford JR, Needham CJ, Bulpitt AJ, Westhead DR.

Hum Mutat. 2009 Mar;30(3):485-92. doi: 10.1002/humu.20917.

PMID:
19156842
12.

A primer on learning in Bayesian networks for computational biology.

Needham CJ, Bradford JR, Bulpitt AJ, Westhead DR.

PLoS Comput Biol. 2007 Aug;3(8):e129. Review. No abstract available.

13.

Predicting the effect of missense mutations on protein function: analysis with Bayesian networks.

Needham CJ, Bradford JR, Bulpitt AJ, Care MA, Westhead DR.

BMC Bioinformatics. 2006 Sep 6;7:405.

14.

Insights into protein-protein interfaces using a Bayesian network prediction method.

Bradford JR, Needham CJ, Bulpitt AJ, Westhead DR.

J Mol Biol. 2006 Sep 15;362(2):365-86.

PMID:
16919296
15.

Arabidopsis Co-expression Tool (ACT): web server tools for microarray-based gene expression analysis.

Manfield IW, Jen CH, Pinney JW, Michalopoulos I, Bradford JR, Gilmartin PM, Westhead DR.

Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W504-9.

16.

Inference in Bayesian networks.

Needham CJ, Bradford JR, Bulpitt AJ, Westhead DR.

Nat Biotechnol. 2006 Jan;24(1):51-3. No abstract available.

PMID:
16404397
17.

Evaluation of lincomycin in drinking water for treatment of induced porcine proliferative enteropathy using a Swine challenge model.

Bradford JR, Winkelman NL, Moreira FP, Elfring GD.

Vet Ther. 2004 Winter;5(4):239-50.

PMID:
15719323
18.

Improved prediction of protein-protein binding sites using a support vector machines approach.

Bradford JR, Westhead DR.

Bioinformatics. 2005 Apr 15;21(8):1487-94.

19.
20.

myo-Inositol metabolism in the neonatal and developing rat fed a myo-inositol-free diet.

Burton LE, Ray RE, Bradford JR, Orr JP, Nickerson JA, Wells WW.

J Nutr. 1976 Nov;106(11):1610-6.

PMID:
185343
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