recipe deepaccess

A package for training and interpreting an ensemble of neural networks for chromatin accessibility

Homepage:

https://github.com/gifford-lab/deepaccess-package

Documentation:

https://pypi.org/project/deepaccess/

License:

MIT / MIT

Recipe:

/deepaccess/meta.yaml

Links:

doi: 10.1101/2021.02.26.433073

package deepaccess

Versions:

0.1.3-0,  0.1.2-0,  0.1.1-0,  0.1.0-0

Depends:

• bedtools >=2.29.2

• keras >=2.4.3

• matplotlib-base >=3.3.3

• numpy >=1.19.0

• python >=3.6

• scikit-learn >=0.24.1

• scipy >=1.6.2

• tensorflow >=2.4

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install deepaccess

and update with:

conda update deepaccess

or use the docker container:

docker pull quay.io/biocontainers/deepaccess:<tag>

(see deepaccess/tags for valid values for <tag>)

Download stats

Link to this page

Render an badge with the following MarkDown:

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