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Items: 1 to 20 of 24

1.

Theoretical cross-comparative analysis on dynamics of small intestine and colon crypts during cancer initiation.

Roznovăţ IA, Ruskin HJ.

IET Syst Biol. 2015 Dec;9(6):259-67. doi: 10.1049/iet-syb.2015.0048.

PMID:
26577160
2.

Computational Models & Methods in Systems Biology & Medicine.

Ruskin HJ, Roznovat IA.

IET Syst Biol. 2015 Dec;9(6):217. doi: 10.1049/iet-syb.2015.0078. No abstract available.

PMID:
26577155
3.
4.

A computational model for genetic and epigenetic signals in colon cancer.

Roznovăţ IA, Ruskin HJ.

Interdiscip Sci. 2013 Sep;5(3):175-86. doi: 10.1007/s12539-013-0172-y. Epub 2013 Dec 4.

PMID:
24307409
5.

RNA-Seq vs dual- and single-channel microarray data: sensitivity analysis for differential expression and clustering.

Sîrbu A, Kerr G, Crane M, Ruskin HJ.

PLoS One. 2012;7(12):e50986. doi: 10.1371/journal.pone.0050986. Epub 2012 Dec 10.

6.

The landscape for epigenetic/epigenomic biomedical resources.

Shakya K, O'Connell MJ, Ruskin HJ.

Epigenetics. 2012 Sep;7(9):982-6. Epub 2012 Aug 9. Review.

7.

Colon cancer associated genes exhibit signatures of positive selection at functionally significant positions.

Morgan CC, Shakya K, Webb A, Walsh TA, Lynch M, Loscher CE, Ruskin HJ, O'Connell MJ.

BMC Evol Biol. 2012 Jul 12;12:114. doi: 10.1186/1471-2148-12-114.

8.

Integrating heterogeneous gene expression data for gene regulatory network modelling.

Sîrbu A, Ruskin HJ, Crane M.

Theory Biosci. 2012 Jun;131(2):95-102. doi: 10.1007/s12064-011-0133-0. Epub 2011 Sep 24.

PMID:
21948152
9.

Computational micromodel for epigenetic mechanisms.

Raghavan K, Ruskin HJ, Perrin D, Goasmat F, Burns J.

PLoS One. 2010 Nov 30;5(11):e14031. doi: 10.1371/journal.pone.0014031.

10.

Cross-platform microarray data normalisation for regulatory network inference.

Sîrbu A, Ruskin HJ, Crane M.

PLoS One. 2010 Nov 12;5(11):e13822. doi: 10.1371/journal.pone.0013822.

11.

Model refinement through high-performance computing: an agent-based HIV example.

Perrin D, Ruskin HJ, Crane M.

Immunome Res. 2010 Sep 27;6 Suppl 1:S3. doi: 10.1186/1745-7580-6-S1-S3.

12.

Comparison of microarray preprocessing methods.

Shakya K, Ruskin HJ, Kerr G, Crane M, Becker J.

Adv Exp Med Biol. 2010;680:139-47. doi: 10.1007/978-1-4419-5913-3_16.

PMID:
20865495
13.

Cell type-dependent, infection-induced, aberrant DNA methylation in gastric cancer.

Perrin D, Ruskin HJ, Niwa T.

J Theor Biol. 2010 May 21;264(2):570-7. doi: 10.1016/j.jtbi.2010.02.040. Epub 2010 Feb 26.

PMID:
20219476
14.

Comparison of evolutionary algorithms in gene regulatory network model inference.

Sîrbu A, Ruskin HJ, Crane M.

BMC Bioinformatics. 2010 Jan 27;11:59. doi: 10.1186/1471-2105-11-59.

15.

Seizure characterisation using frequency-dependent multivariate dynamics.

Conlon T, Ruskin HJ, Crane M.

Comput Biol Med. 2009 Sep;39(9):760-7. doi: 10.1016/j.compbiomed.2009.06.003. Epub 2009 Jul 5.

PMID:
19580962
16.

3D Multi-agent models for protein release from PLGA spherical particles with complex inner morphologies.

Barat A, Ruskin HJ, Crane M.

Theory Biosci. 2008 Jun;127(2):95-105. doi: 10.1007/s12064-008-0041-0. Epub 2008 Apr 26.

PMID:
18438693
17.

Quantitative multi-agent models for simulating protein release from PLGA bioerodible nano- and microspheres.

Barat A, Crane M, Ruskin HJ.

J Pharm Biomed Anal. 2008 Sep 29;48(2):361-8. doi: 10.1016/j.jpba.2008.02.031. Epub 2008 Mar 8.

PMID:
18436414
18.

Diversity emergence and dynamics during primary immune response: a shape space, physical space model.

Burns J, Ruskin HJ.

Theory Biosci. 2004 Sep;123(2):181-93. doi: 10.1016/j.thbio.2004.05.001.

PMID:
18236098
19.

Techniques for clustering gene expression data.

Kerr G, Ruskin HJ, Crane M, Doolan P.

Comput Biol Med. 2008 Mar;38(3):283-93. Epub 2007 Dec 3. Review.

PMID:
18061589
20.

Optimisation and parallelisation strategies for Monte Carlo simulation of HIV infection.

Hecquet D, Ruskin HJ, Crane M.

Comput Biol Med. 2007 May;37(5):691-9. Epub 2006 Aug 8.

PMID:
16901479
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