Python package to generate on-hot encoded biological gaps to use for training and prediction.
Project description
Python package to generate on-hot encoded biological gaps to use for training and prediction.
How do I install this package?
As usual, just download it using pip:
pip install keras_biological_gaps_sequences
Tests Coverage
Since some software handling coverages sometimes get slightly different results, here’s three of them:
Available datasets
Currently, there is only a dataset of gaps available within the package: the mapping of known gaps from hg19 to hg38. In the future, we will be adding more mapping.
Usage example
To use the sequence you can do as follows:
biological_gap_sequence = BiologicalGapsSequence(
source="hg19",
target="hg38",
source_window_size=1000,
target_window_size=1000,
batch_size=32
)
model = build_my_denoiser()
model.fit_generator(
biological_gap_sequence,
steps_per_epoch=biological_gap_sequence.steps_per_epoch,
epochs=2,
shuffle=True
)
Project details
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