https://doi.org/10.7490/f1000research.1115405.1
Poster
NOT PEER REVIEWED
Download
metrics
VIEWS
208
 
downloads
12
CITE
How to cite this poster:
Karunanithi S and Schulz M. Genome wide prediction of monoallelic gene expression from human epigenetic data [version 1; not peer reviewed]. F1000Research 2018, 7:503 (poster) (https://doi.org/10.7490/f1000research.1115405.1)
NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

Genome wide prediction of monoallelic gene expression from human epigenetic data

Author Affiliations
  • Metrics
  • 208 Views
  • 12 Downloads
Browse by related subjects
Published 26 Apr 2018

Genome wide prediction of monoallelic gene expression from human epigenetic data

[version 1; not peer reviewed]

Author Affiliations
1 Saarland University, Germany
Presented at
22nd International Conference on Research in Computational Molecular Biology (RECOMB) 2018
Abstract
Competing Interests

No competing interests were disclosed

Keywords
Monoallelic, gene expression, MAE, genome-wide, prediction
Comments
0 Comments
 
Sign In
If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password.

The email address should be the one you originally registered with F1000.

Email address not valid, please try again

You registered with F1000 via Google, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Google account password, please click here.

You registered with F1000 via Facebook, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Facebook account password, please click here.

Code not correct, please try again
Email us for further assistance.
Server error, please try again.