Publication type: Book part
Type of review: Editorial review
Title: Classification with gene expression data
Authors: Dettling, Marcel
DOI: 10.1007/0-387-29362-0_24
Published in: Bioinformatics and computational biology solutions using R and bioconductor
Page(s): 421
Pages to: 430
Issue Date: 2005
Series: Statistics for Biology and Health
Publisher / Ed. Institution: Springer
Publisher / Ed. Institution: New York
ISBN: 978-0-387-25146-2
Language: English
Subjects: IDP
Subject (DDC): 572: Biochemistry
URI: https://digitalcollection.zhaw.ch/handle/11475/4647
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Appears in collections:Publikationen School of Engineering

Files in This Item:
There are no files associated with this item.
Show full item record
Dettling, M. (2005). Classification with gene expression data. In Bioinformatics and computational biology solutions using R and bioconductor (pp. 421–430). Springer. https://doi.org/10.1007/0-387-29362-0_24
Dettling, M. (2005) ‘Classification with gene expression data’, in Bioinformatics and computational biology solutions using R and bioconductor. New York: Springer, pp. 421–430. Available at: https://doi.org/10.1007/0-387-29362-0_24.
M. Dettling, “Classification with gene expression data,” in Bioinformatics and computational biology solutions using R and bioconductor, New York: Springer, 2005, pp. 421–430. doi: 10.1007/0-387-29362-0_24.
DETTLING, Marcel, 2005. Classification with gene expression data. In: Bioinformatics and computational biology solutions using R and bioconductor. New York: Springer. S. 421–430. ISBN 978-0-387-25146-2
Dettling, Marcel. 2005. “Classification with Gene Expression Data.” In Bioinformatics and Computational Biology Solutions Using R and Bioconductor, 421–30. New York: Springer. https://doi.org/10.1007/0-387-29362-0_24.
Dettling, Marcel. “Classification with Gene Expression Data.” Bioinformatics and Computational Biology Solutions Using R and Bioconductor, Springer, 2005, pp. 421–30, https://doi.org/10.1007/0-387-29362-0_24.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.