English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Using machine learning to predict and better understand DNA methylation and genomic enhancers

Huska, M. (2017). Using machine learning to predict and better understand DNA methylation and genomic enhancers. PhD Thesis, Freie Universität, Berlin.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0000-82D7-A Version Permalink: http://hdl.handle.net/21.11116/0000-0001-4344-7
Genre: Thesis

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Huska, Matthew1, 2, Author              
Affiliations:
1IMPRS for Computational Biology and Scientific Computing - IMPRS-CBSC (Kirsten Kelleher), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479666              
2FU Berlin, ou_persistent22              

Content

show

Details

show
hide
Language(s):
 Dates: 2017-12-152017
 Publication Status: Published online
 Pages: -
 Publishing info: Berlin : Freie Universität
 Table of Contents: -
 Rev. Method: -
 Identifiers: -
 Degree: PhD

Event

show

Legal Case

show

Project information

show

Source

show