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Showing 25 to 36 of 455 entries
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ONCOMINE: a cancer microarray database and integrated data-mining platform.

Neoplasia (New York, N.Y.)

Rhodes DR, Yu J, Shanker K, Deshpande N, Varambally R, Ghosh D, Barrette T, Pandey A, Chinnaiyan AM.
PMID: 15068665
Neoplasia. 2004 Jan-Feb;6(1):1-6. doi: 10.1016/s1476-5586(04)80047-2.

DNA microarray technology has led to an explosion of oncogenomic analyses, generating a wealth of data and uncovering the complex gene expression patterns of cancer. Unfortunately, due to the lack of a unifying bioinformatic resource, the majority of these...

Critical assessment of microarray data analysis: the 2001 challenge.

Bioinformatics (Oxford, England)

Johnson KF, Lin SM.
PMID: 11590109
Bioinformatics. 2001 Sep;17(9):857-8. doi: 10.1093/bioinformatics/17.9.857.

UNLABELLED: We initiated the Critical Assessment of Microarray Data Analysis (CAMDA) conference to stimulate and evaluate the development of advanced data analysis techniques for microarrays. A standard data set has been released for this data analysis challenge. The goal...

Laying the foundation for a Genomic Rosetta Stone: creating information hubs through the use of consensus identifiers.

Omics : a journal of integrative biology

Van Brabant B, Gray T, Verslyppe B, Kyrpides N, Dietrich K, Glöckner FO, Cole J, Farris R, Schriml LM, De Vos P, De Baets B, Field D, Dawyndt P.
PMID: 18479205
OMICS. 2008 Jun;12(2):123-7. doi: 10.1089/omi.2008.0020.

Given the growing wealth of downstream information, the integration of molecular and non-molecular data on a given organism has become a major challenge. For micro-organisms, this information now includes a growing collection of sequenced genes and complete genomes, and...

PathwayExplorer: web service for visualizing high-throughput expression data on biological pathways.

Nucleic acids research

Mlecnik B, Scheideler M, Hackl H, Hartler J, Sanchez-Cabo F, Trajanoski Z.
PMID: 15980551
Nucleic Acids Res. 2005 Jul 01;33:W633-7. doi: 10.1093/nar/gki391.

While generation of high-throughput expression data is becoming routine, the fast, easy, and systematic presentation and analysis of these data in a biological context is still an obstacle. To address this need, we have developed PathwayExplorer, which maps expression...

The emperor's new clothes revisited.

Trends in genetics : TIG

Shields R.
PMID: 16859804
Trends Genet. 2006 Sep;22(9):463. doi: 10.1016/j.tig.2006.07.004. Epub 2006 Jul 21.

No abstract available.

Self-incompatibility studies in guayule; inheritance.

Genetics

GERSTEL DU.
PMID: 15427838
Genetics. 1950 Jul;35(4):482-506. doi: 10.1093/genetics/35.4.482.

No abstract available.

[General review of inheritance in ophthalmology].

Archivos de la Sociedad Oftalmologica Hispano-Americana

DEL RIO CABANAS JL.
PMID: 14811784
Archivos Soc Oftalmol Hisp Am. 1950 Nov;10(11):1176-1218.

No abstract available.

Proceedings of the Third Annual Conference of the MidSouth Computational Biology and Bioinformatics Society. Introduction.

BMC bioinformatics

Wren JD, Gusev Y, Ptitsyn A, Winters-Hilt S.
PMID: 17118130
BMC Bioinformatics. 2006 Sep 06;7:S1. doi: 10.1186/1471-2105-7-S2-S1.

No abstract available.

Network medicine: a network-based approach to human disease.

Nature reviews. Genetics

Barabási AL, Gulbahce N, Loscalzo J.
PMID: 21164525
Nat Rev Genet. 2011 Jan;12(1):56-68. doi: 10.1038/nrg2918.

Given the functional interdependencies between the molecular components in a human cell, a disease is rarely a consequence of an abnormality in a single gene, but reflects the perturbations of the complex intracellular and intercellular network that links tissue...

Integration of diverse microarray data types.

Methods in molecular biology (Clifton, N.J.)

Salari K, Pollack JR.
PMID: 19488881
Methods Mol Biol. 2009;556:205-16. doi: 10.1007/978-1-60327-192-9_15.

Over the past decade, DNA microarrays have proven to be a powerful tool in biological research for the molecular surveillance of cells and tissues. The expansive utility of DNA microarrays owes its nascence to the development of a multitude...

Graph kernels for disease outcome prediction from protein-protein interaction networks.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

Borgwardt KM, Kriegel HP, Vishwanathan SV, Schraudolph NN.
PMID: 17992741
Pac Symp Biocomput. 2007;4-15.

It is widely believed that comparing discrepancies in the protein-protein interaction (PPI) networks of individuals will become an important tool in understanding and preventing diseases. Currently PPI networks for individuals are not available, but gene expression data is becoming...

Developing an ontology.

Methods in molecular biology (Clifton, N.J.)

Harris MA.
PMID: 18563371
Methods Mol Biol. 2008;452:111-24. doi: 10.1007/978-1-60327-159-2_5.

In recent years, biological ontologies have emerged as a means of representing and organizing biological concepts, enabling biologists, bioinformaticians, and others to derive meaning from large datasets.This chapter provides an overview of formal principles and practical considerations of ontology...

Showing 25 to 36 of 455 entries