©1996-2009 All Rights Reserved. Online Journal
of Bioinformatics. You may not store these pages in any form except for
your own personal use. All other usage or distribution is illegal under
international copyright treaties. Permission to use any of
these pages in any other way besides the before mentioned must be gained in
writing from the publisher. This article is exclusively copyrighted in
its entirety to OJB publications. This article may be copied once but may not
be reproduced or re-transmitted without the express permission of the editors.
OJB©
Online Journal of Bioinformatics©
Volume 5 :
32-48, 2004
Wave analysis of microarray
expression as predictor of gene expression in tumors
Alok Gupta and Shipra Agrawal*
Indian
Institute of Information Technology
ABSTRACT
Gupta A, Agrawal S Wave analysis of microarray expression as
predictor of gene expression in tumors. Online J Bioinformatics 5 : 32-48, 2004. Microarray gene
expression, analyzed by cluster data algorithms may be used to characterize
phenotypic variables such as tumor type and gene mutational status. In this
study, microarray data from human fibroblasts taken
from ten anatomical sites was transformed to wave data (wave transform).
Analysis showed that the genes responsible for fibroblastic serum response
were regulated in a coordinated manner in tumors which could allow
identification of tumors with specific gene expression signatures. The
findings suggest that classifiers for specific cancer types could be used to
predict the progression behavior of cancers and prognosis.
Key words: Wavelet transforms, array expression analysis and human cancer.
©1996-2009 All Rights Reserved. Online Journal
of Bioinformatics. You may not store these pages in any form except for
your own personal use. All other usage or distribution is illegal under
international copyright treaties. Permission to use any of
these pages in any other way besides the before mentioned must be gained in
writing from the publisher. This article is exclusively copyrighted in
its entirety to OJB publications. This article may be copied once but may not
be reproduced or re-transmitted without the express permission of the editors.