Using Go for Statistical Analyses

Robert Gentleman ()
Additional contact information
Robert Gentleman: Harvard University, Department of Biostatistics

A chapter in COMPSTAT 2004 — Proceedings in Computational Statistics, 2004, pp 171-180 from Springer

Abstract: Abstract In this paper we use meta-data packages from the Bioconductor Project to carry out statistical analyses of gene expression data. But would like to note that the potential scope of these applications is much broader and many of the methods described here could be applied to other types of high-throughput data. To provide context we make use of data from an investigation into acute lymphoblastic leukemia.

Keywords: Ontology; bioinformatics; graphs (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2656-2_13

Ordering information: This item can be ordered from
http://www.springer.com/9783790826562

DOI: 10.1007/978-3-7908-2656-2_13

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().