English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  How well can we classify coronary artery disease using all genetic data and choosing the best classification algorithm?

Gola, D., Andlauer, T., Mirza-Schreiber, N., Zeng, L., Müller-Myhsok, B., & Koenig, I. R. (2018). How well can we classify coronary artery disease using all genetic data and choosing the best classification algorithm? GENETIC EPIDEMIOLOGY, 42(7): 41, 701-702.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0003-6EA7-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-6EB8-3
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Gola, Damian1, Author
Andlauer, Till2, Author           
Mirza-Schreiber, Nazanin2, Author           
Zeng, Lingyao1, Author
Müller-Myhsok, Bertram2, Author           
Koenig, Inke R.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society, ou_2035295              

Content

show
hide
Free keywords: Genetics & Heredity; Mathematical & Computational Biology;
 Abstract: -

Details

show
hide
Language(s): eng - English
 Dates: 2018
 Publication Status: Issued
 Pages: 2
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000447523100049
 Degree: -

Event

show
hide
Title: 27th Annual Meeting of the International Genetic Epidemiology Society (IGES)
Place of Event: San Diego, USA
Start-/End Date: 2018-10-14 - 2018-10-16

Legal Case

show

Project information

show

Source 1

show
hide
Title: GENETIC EPIDEMIOLOGY
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: 111 RIVER ST, HOBOKEN 07030-5774, NJ USA : WILEY
Pages: - Volume / Issue: 42 (7) Sequence Number: 41 Start / End Page: 701 - 702 Identifier: ISSN: 0741-0395