locusselect

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0.3 locusselect-0.3-py3-none-any.whl

Wheel Details

Project: locusselect
Version: 0.3
Filename: locusselect-0.3-py3-none-any.whl
Download: [link]
Size: 14196
MD5: 56755d2131e9680403d23922a39e2bee
SHA256: 0efffdb55eb2f4d1a909164348c26e3ff7f7abc47a45054264f8a74eeef190ea
Uploaded: 2019-07-09 17:42:35 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: locusselect
Version: 0.3
Summary: Compute deep learning embeddings for narrowPeak files; compute pairwise distance between embeddings and cluster with tSNE
Download-Url: https://github.com/kundajelab/locusselect
Requires-Dist: numpy (>=1.9)
Requires-Dist: keras (>=2.2)
Requires-Dist: h5py
Requires-Dist: pandas
Requires-Dist: deeplift
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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locusselect/custom_losses.py sha256=zeev_yq9pGbhb2j5r1V24uD-EyGCy2FsxGdnid_bJ7s 1338
locusselect/generators.py sha256=ZVqOVu1htm5VJmeWpKvIDtHnEz_6iMyBwRHba029c5s 2678
locusselect/metrics.py sha256=6JB04OHzTikWxqelXuixf-rQjXpF3pjxJzsPQDbTxPk 2124
locusselect/utils.py sha256=2yGda-UsMeuSvJWPXp6EGonQGBs_rdsMS7_EjrdjSCc 356
locusselect/deeplift/__init__.py sha256=R_YCFYADR0e-FKw333ytEzgaPy26zTzeSlaQ155jCwY 8684
locusselect/dist/__init__.py sha256=1agNH8u-JqVvLSkx3gYBjzt1qZoSWueaYB_c3ufMcB0 589
locusselect/embeddings/__init__.py sha256=TxnRU-2S4tk8YgUH2enI7O9xcWA8quAG15-_ZhRPiBY 8390
locusselect/gapped_kmers/__init__.py sha256=wsH_TIC_Aow8x3YC3GDlzGWVka9Lta2Frcdq99W4lac 9829
locusselect/vis/__init__.py sha256=QxORoQOlzf4In2_qwfTH9jfMkR7SAF9iBwAnZwSiJFM 639
locusselect-0.3.dist-info/METADATA sha256=ajXIw_58B2ErEN2_3CVWlQqN2szH1zEzAqutUsVY744 467
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locusselect-0.3.dist-info/RECORD

top_level.txt

locusselect

entry_points.txt

compute_deeplift_scores = locusselect.deeplift:main
compute_embedding_distances = locusselect.dist:main
compute_kmer_embeddings = locusselect.gapped_kmers:main
compute_nn_embeddings = locusselect.embeddings:main
visualize_embeddings = locusselect.vis:main