Published May 3, 2016 | Version v1

Basset model files

Description

This is the Basset model published by David Kelley converted to pytorch by Roman Kreuzhuber. It categorically predicts probabilities of accesible genomic regions in 164 cell types. Data was generated using DNAse-seq. The sequence length the model uses as input is 600bp. The input of the tensor has to be (N, 4, 600, 1) for N samples, 600bp window size and 4 nucleotides. Per sample, 164 probabilities of accessible chromatin will be predicted.

Notes

This dataset is used in the Kipoi model zoo for the Basset model.

Files

test_encode_roadmap_short_pred.txt

Files (29.2 MB)

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