recipe deeplc

DeepLC: Retention time prediction for (modified) peptides using Deep Learning.

Homepage:

http://compomics.github.io/projects/DeepLC

Developer docs:

https://github.com/compomics/DeepLC

License:

APACHE / Apache-2.0

Recipe:

/deeplc/meta.yaml

package deeplc

Versions:

1.1.2-0,  1.0.1-0,  1.0.0-0,  0.2.2-0,  0.2.1-0,  0.2.0-0,  0.1.36-0,  0.1.35-0,  0.1.34-0, 

1.1.2-0,  1.0.1-0,  1.0.0-0,  0.2.2-0,  0.2.1-0,  0.2.0-0,  0.1.36-0,  0.1.35-0,  0.1.34-0,  0.1.33-0,  0.1.31-0,  0.1.30-0,  0.1.29-0,  0.1.16-0,  0.1.15-0,  0.1.14-0,  0.1.13-0,  0.1.12-0,  0.1.11-0,  0.1.10-0,  0.1.7-0,  0.1.6-0,  0.1.4-0,  0.1.2-0,  0.1.1-0

Depends:

• matplotlib-base >=3,<4

• numpy >=1.17,<2

• opt-einsum

• pandas >=0.25,<2

• pygam >=0.8,<1

• python >=3.6

• scikit-learn >=0.24,<2.0

• scipy >=1.4,<2

• setuptools >=42

• tensorboard >=2.2,<3

• tensorflow-base >=2.2,<3

• tensorflow-estimator >=2.2,<3

Required By:

Installation

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

conda install deeplc

and update with:

conda update deeplc

or use the docker container:

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

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

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/deeplc/README.html)