English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 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