Automation of gene assignments to metabolic pathways using high-throughput expression data

doi:10.1186/1471-2105-6-217

BMC Bioinformatics

Volume 6

Viewing options:

Abstract
Full text
PDF (1.8MB)
Additional files

Associated material:

Related literature:

Articles citing this article
on Google Scholar
on ISI Web of Science
on PubMed Central
Other articles by authors
on Google Scholar

Popescu L
Yona G

on PubMed

Popescu L
Yona G
Related articles/pages
on Google

on Google Scholar

on PubMed

Tools:

Post to:

Methodology article

Automation of gene assignments to metabolic pathways using high-throughput expression data

Liviu Popescu and Golan Yona

Department of Computer Science, Cornell University, Ithaca, NY

author email corresponding author email

BMC Bioinformatics 2005, 6:217doi:10.1186/1471-2105-6-217


Published:	31 August 2005

Additional files

Additional File 1:

Assignments of genes to pathways with the time series dataset. For each pathway we list the 10 highest scoring and the 10 lowest scoring assignments (or all assignments, if the number of assignments is 100 or less).

Format: PDF Size: 208KB Download file

This file can be viewed with: Adobe Acrobat Reader

Additional File 2:

Assignments of genes to pathways with the rosetta dataset. For each pathway we list the 10 highest scoring and the 10 lowest scoring assignments (or all assignments, if the number of assignments is 100 or less).

Format: PDF Size: 208KB Download file

This file can be viewed with: Adobe Acrobat Reader