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defined_as: kipoi.model.KerasModel
args: # arguments of kipoi.model.KerasModel
arch:
url: https://zenodo.org/record/5502060/files/DeepSTARR.model.json?download=1
md5: 9b796f79441e53dc75dd79b911fff872
weights:
url: https://zenodo.org/record/5502060/files/DeepSTARR.model.h5?download=1
md5: 7e53a9351b2520a4713a5ffdb5f1566c
default_dataloader:
defined_as: kipoiseq.dataloaders.SeqIntervalDl
default_args: # Optional arguments to the SeqIntervalDl dataloader
auto_resize_len: 249
alphabet_axis: 1
dummy_axis: 2
alphabet: "ACGT"
ignore_targets: False
info:
authors:
- name: Bernardo P. de Almeida
github: bernardo-de-almeida
email: bernardo.almeida94@gmail.com
doc: Model predicting the activities of developmental and housekeeping enhancers in Drosophila S2 cells
cite_as: https://doi.org/10.1101/2021.10.05.463203
trained_on: Developmental and housekeeping quantitative enhancer activity. Held-out second half of chromosome 2R.
license: MIT
dependencies:
conda:
- python=3.7
- h5py=3.6.0
- pip=21.2.2
pip:
- keras==2.7.0
- tensorflow==2.7.0
schema:
inputs:
shape: (249,4,1)
doc: DNA sequence
targets:
shape: (2,)
doc: Developmental and housekeeping enhancer activity
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