Literature DB >> 14555635

Analysing gene expressions with GRANK.

W P H de Boer1, J J Oudejans, C J L M Meijer, J Lankelma.   

Abstract

UNLABELLED: Unravelling overlapping clusters of functionally linked genes is a major challenge to current clustering programs. Algorithm GRANK permits systematic study of overlap between clusters of genes of a similar expression profile and large variation across a series of microarrays. AVAILABILITY: GRANK is freely available from http://www.bio.vu.nl/microb/research/tumor.html provided one adheres to the end-user license agreement in the associated manual. SUPPLEMENTARY INFORMATION: Above website also supplies the in- and output files used in the example run.

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Year:  2003        PMID: 14555635     DOI: 10.1093/bioinformatics/btg267

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  2 in total

1.  Expression of the polycomb-group gene BMI1 is related to an unfavourable prognosis in primary nodal DLBCL.

Authors:  Joost C van Galen; Jettie J F Muris; Joost J Oudejans; Wim Vos; Cindy P E Giroth; Gert J Ossenkoppele; Arie P Otte; Frank M Raaphorst; Chris J L M Meijer
Journal:  J Clin Pathol       Date:  2006-07-12       Impact factor: 3.411

Review 2.  Of mice, flies, and man: the emerging role of polycomb-group genes in human malignant lymphomas.

Authors:  Frank M Raaphorst
Journal:  Int J Hematol       Date:  2005-05       Impact factor: 2.490

  2 in total

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