TAL1 single motif detection

readme.md

name	model_weights	weights_url	license	sha1	dragonn_version	gist_id
TAL1 single motif detection	simulate_single_motif_detection.L10conv_width(15,)dropout0.0num_filters(10,)num_tasks1pool_width35seq_length500use_RNNFalseverboseFalse.weights.hd5	https://www.dropbox.com/s/vr1ue5wf07owtzj/simulate_single_motif_detection.L10conv_width%2815%2C%29dropout0.0num_filters%2810%2C%29num_tasks1pool_width35seq_length500use_RNNFalseverboseFalse.weights.hd5?dl=0	unrestricted	41fec510b022a8e53aca0a149c8dfc78a663d5cd	e1803224209cda5790610b7a877a261d9bbdd083	8d2a6d4a8538fe46b0c93a6ef67c4c14

This model was trained to classify data from simulate_single_motif_detection for the TAL1 motif in 500bp sequence. See weights filename for exact simulation settings.

License

This model is released for unrestricted use.

simulate_single_motif_detection.L10conv_width(15,)dropout0.0num_filters(10,)num_tasks1pool_width35seq_length500use_RNNFalseverboseFalse.model.json

{
    "verbose": false, 
    "TDD_size": 15, 
    "dropout": 0.0, 
    "num_epochs": 100, 
    "seq_length": 500, 
    "num_filters": [
        10
    ], 
    "use_RNN": false, 
    "GRU_size": 35, 
    "L1": 0, 
    "pool_width": 35, 
    "num_tasks": 1, 
    "conv_width": [
        15
    ]
}