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Items: 1 to 20 of 31

1.

The MGED Ontology: a resource for semantics-based description of microarray experiments.

Whetzel PL, Parkinson H, Causton HC, Fan L, Fostel J, Fragoso G, Game L, Heiskanen M, Morrison N, Rocca-Serra P, Sansone SA, Taylor C, White J, Stoeckert CJ Jr.

Bioinformatics. 2006 Apr 1;22(7):866-73. Epub 2006 Jan 21.

PMID:
16428806
2.

Using ontologies to annotate microarray experiments.

Whetzel PL, Parkinson H, Stoeckert CJ Jr.

Methods Enzymol. 2006;411:325-39. Review.

PMID:
16939798
3.

Microarray databases: standards and ontologies.

Stoeckert CJ Jr, Causton HC, Ball CA.

Nat Genet. 2002 Dec;32 Suppl:469-73. Review.

PMID:
12454640
4.

MGED standards: work in progress.

Ball CA, Brazma A.

OMICS. 2006 Summer;10(2):138-44. Review.

PMID:
16901218
5.

Bioinformatics analysis of microarray data.

Zhang Y, Szustakowski J, Schinke M.

Methods Mol Biol. 2009;573:259-84. doi: 10.1007/978-1-60761-247-6_15. Review.

PMID:
19763933
6.

Understanding and using the meaning of statements in a bio-ontology: recasting the Gene Ontology in OWL.

Aranguren ME, Bechhofer S, Lord P, Sattler U, Stevens R.

BMC Bioinformatics. 2007 Feb 20;8:57. Review.

7.

Gene expression profiling: methodological challenges, results, and prospects for addiction research.

Pollock JD.

Chem Phys Lipids. 2002 Dec 31;121(1-2):241-56. Review.

PMID:
12505704
8.

Storage and retrieval of microarray data and open source microarray database software.

Sherlock G, Ball CA.

Mol Biotechnol. 2005 Jul;30(3):239-51. Review.

PMID:
15988049
9.
10.

Interpreting microarray results with gene ontology and MeSH.

Osborne JD, Zhu LJ, Lin SM, Kibbe WA.

Methods Mol Biol. 2007;377:223-42. Review.

PMID:
17634620
11.

'The 39 steps' in gene expression profiling: critical issues and proposed best practices for microarray experiments.

Imbeaud S, Auffray C.

Drug Discov Today. 2005 Sep 1;10(17):1175-82. Review.

PMID:
16182210
12.

Statistical analysis of microarray data.

Reimers M.

Addict Biol. 2005 Mar;10(1):23-35. Review.

PMID:
15849016
13.

Ontology-based knowledge representation for bioinformatics.

Stevens R, Goble CA, Bechhofer S.

Brief Bioinform. 2000 Nov;1(4):398-414. Review.

PMID:
11465057
14.

Controlled vocabularies and ontologies in proteomics: overview, principles and practice.

Mayer G, Jones AR, Binz PA, Deutsch EW, Orchard S, Montecchi-Palazzi L, VizcaĆ­no JA, Hermjakob H, Oveillero D, Julian R, Stephan C, Meyer HE, Eisenacher M.

Biochim Biophys Acta. 2014 Jan;1844(1 Pt A):98-107. doi: 10.1016/j.bbapap.2013.02.017. Epub 2013 Feb 19. Review.

15.

The ultimate chip shot: can microarray technology deliver for neuroscience?

Nisenbaum LK.

Genes Brain Behav. 2002 Jan;1(1):27-34. Review.

PMID:
12886947
16.

Storage and transmission of microarray images.

Luo Y, Lonardi S.

Drug Discov Today. 2005 Dec;10(23-24):1689-95. Review.

PMID:
16376830
17.

Creating databases for biological information: an introduction.

Stein L.

Curr Protoc Bioinformatics. 2013 Jun;Chapter 9:Unit9.1. doi: 10.1002/0471250953.bi0901s42. Review.

PMID:
23749755
19.

Annotation of environmental OMICS data: application to the transcriptomics domain.

Morrison N, Wood AJ, Hancock D, Shah S, Hakes L, Gray T, Tiwari B, Kille P, Cossins A, Hegarty M, Allen MJ, Wilson WH, Olive P, Last K, Kramer C, Bailhache T, Reeves J, Pallett D, Warne J, Nashar K, Parkinson H, Sansone SA, Rocca-Serra P, Stevens R, Snape J, Brass A, Field D.

OMICS. 2006 Summer;10(2):172-8. Review.

PMID:
16901223
20.

Chondrocyte channel transcriptomics: do microarray data fit with expression and functional data?

Lewis R, May H, Mobasheri A, Barrett-Jolley R.

Channels (Austin). 2013 Nov-Dec;7(6):459-67. doi: 10.4161/chan.26071. Epub 2013 Aug 30. Review.

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