English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Joint Modelling of Confounding Factors and Prominent Genetic Regulators Provides Increased Accuracy in Genetical Genomics Studies

Fusi, N., Stegle, O., & Lawrence, N. (2012). Joint Modelling of Confounding Factors and Prominent Genetic Regulators Provides Increased Accuracy in Genetical Genomics Studies. PLoS Computational Biology, 8(1): e1002330.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000E-EA89-C Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-0B9B-9
Genre: Journal Article

Files

show Files

Locators

show
hide
Locator:
Link (Any fulltext)
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Fusi, N., Author
Stegle, O.1, Author           
Lawrence, N.D., Author
Affiliations:
1Research Group Machine Learning and Computational Biology, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497664              

Content

show
hide
Free keywords: Forschungsgruppe Borgwardt
 Abstract: -

Details

show
hide
Language(s):
 Dates: 2012-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: FusiSL2012
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: PLoS Computational Biology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 8 (1) Sequence Number: e1002330 Start / End Page: - Identifier: -