https://doi.org/10.7490/f1000research.1116766.1
Slides
NOT PEER REVIEWED
Download
metrics
VIEWS
115
 
downloads
16
CITE
How to cite these slides:
Squillario M, Tomasi F, Tozzo V and Uberti D. An integrated approach to uncover in an unbiased way a robust SNP signature characterizing Alzheimer’s disease [version 1; not peer reviewed]. F1000Research 2019, 8:686 (slides) (https://doi.org/10.7490/f1000research.1116766.1)
NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

An integrated approach to uncover in an unbiased way a robust SNP signature characterizing Alzheimer’s disease

Margherita Squillario1, Federico Tomasi, Veronica Tozzo, Daniela Uberti
Author Affiliations
  • Metrics
  • 115 Views
  • 16 Downloads
Browse by related subjects
Published 20 May 2019

An integrated approach to uncover in an unbiased way a robust SNP signature characterizing Alzheimer’s disease

[version 1; not peer reviewed]

Margherita Squillario1, Federico Tomasi, Veronica Tozzo, Daniela Uberti
Author Affiliations
1 DIBRIS - University of Genoa, Italy
Presented at
Advances in Alzheimer's and Parkinson's Therapies an AAT-AD/PD Focus Meeting 2018
Abstract
Competing Interests

No competing interests were disclosed

Keywords
Late onset Alzheimer’s Disease, GWAS, 3-fold kernel approach, machine learning, SNPs and genes and pathways signatures, new representation of SNP data, signature validation.
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.