https://doi.org/10.7490/f1000research.1119282.1
Poster
NOT PEER REVIEWED
Download
metrics
VIEWS
26
 
downloads
2
CITE
How to cite this poster:
Ciccolella S, Patterson M, Hajirasouliha I and Della Vedova G. Cancer progression inference using a finite-state model to allow recurrences and losses of mutations​ [version 1; not peer reviewed]. F1000Research 2022, 11:1468 (poster) (https://doi.org/10.7490/f1000research.1119282.1)
NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

Cancer progression inference using a finite-state model to allow recurrences and losses of mutations​

Simone Ciccolella1, Murray Patterson, Iman Hajirasouliha, Gianluca Della Vedova
Author Affiliations
  • Metrics
  • 26 Views
  • 2 Downloads
 
Part of the gateway
Browse by related subjects
Published 10 Dec 2022

Cancer progression inference using a finite-state model to allow recurrences and losses of mutations​

[version 1; not peer reviewed]

Simone Ciccolella1, Murray Patterson, Iman Hajirasouliha, Gianluca Della Vedova
Author Affiliations
1 University of Milan Bicocca, Italy
Presented at
Bioinformatics and Computational Biology Conference (BBCC), 2022
Competing Interests

No competing interests were disclosed

Keywords
Cancer Inference, Infinite Sites Assumption, Maximum likelihood tree search
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.