Skip to content

TF MOtif Discovery from Importance SCOres

License

Notifications You must be signed in to change notification settings

ktp-forked-repos/tfmodisco

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

TF-MoDISco

DOI

Installation: At the time of writing, the latest version on pypi is version 0.5.1.1 and can be installed using pip install modisco. To install from this source code, clone the repo and then run pip install --editable /path/to/cloned/repo.

Video of talk at NIPS MLCB: https://www.youtube.com/watch?v=fXPGVJg956E

Please see the following example notebooks:

  • TF MoDISco TAL GATA: a self-contained example notebook that uses pre-computed importance scores (generated by a neural network) as input. Scores were generated using deeplift as illustated in this notebook
  • TF MoDISco Nanog: a self-contained example notebook that uses pre-computed importance scores and an empirically-generated null distribution (generated by a gkm-SVM) as input. Scores were generated using gkmexplain as illustated in this notebook

A technical note describing version 0.4.2.2-alpha is available at https://arxiv.org/abs/1811.00416.

Full paper on the way.

About

TF MOtif Discovery from Importance SCOres

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Jupyter Notebook 63.2%
  • Python 36.8%