English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Learning multiple evolutionary pathways from cross-sectional data

Beerenwinkel, N., Rahnenführer, J., Däumer, M., Hoffmann, D., Kaiser, R., Selbig, J., et al. (2004). Learning multiple evolutionary pathways from cross-sectional data. In RECOMB 2004: proceedings of the Eighth Annual International Conference on Research in Computational Molecular Biology (pp. 36-44). New York: ACM.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2996-3 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2997-1
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Beerenwinkel, Niko1, Author           
Rahnenführer, Jörg1, Author           
Däumer, Martin2, Author
Hoffmann, Daniel2, Author
Kaiser, Rolf2, Author
Selbig, Joachim2, Author
Lengauer, Thomas1, Author           
Gusfield, Dan, Editor
Bourne, Philip, Editor
Istrail, Sorin, Editor
Pevzner, Pavel, Editor
Waterman, Michael, Editor
Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046              
2Max Planck Society, ou_persistent13              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 2005-06-172004
 Publication Status: Issued
 Pages: -
 Publishing info: New York : ACM
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 231281
Other: Local-ID: C125673F004B2D7B-58471DAB4FD17627C1256E150060EA62-Beerenwinkel2004a
 Degree: -

Event

show
hide
Title: Untitled Event
Place of Event: San Diego, USA
Start-/End Date: 2004-03-27

Legal Case

show

Project information

show

Source 1

show
hide
Title: RECOMB 2004 : proceedings of the Eighth Annual International Conference on Research in Computational Molecular Biology
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 36 - 44 Identifier: -