Analysing gene expressions with GRANK.

WP de Boer; J.J. Oudejans; C.J.L.M. Meijer; J. Lankelma

doi:10.1093/bioinformatics/btg267

Analysing gene expressions with GRANK.

WP de Boer, J.J. Oudejans, C.J.L.M. Meijer, J. Lankelma

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Abstract

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.

Original language	English
Pages (from-to)	2000-1
Journal	Bioinformatics
Volume	19
Issue number	15
DOIs	https://doi.org/10.1093/bioinformatics/btg267
Publication status	Published - 2003
Externally published	Yes

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title = "Analysing gene expressions with GRANK.",

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AU - Meijer, C.J.L.M.

AU - Lankelma, J.

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AB - 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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JO - Bioinformatics

JF - Bioinformatics

IS - 15

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Analysing gene expressions with GRANK.

Abstract

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