concise

View on PyPIReverse Dependencies (3)

0.6.9 concise-0.6.9-py2.py3-none-any.whl

Wheel Details

Project: concise
Version: 0.6.9
Filename: concise-0.6.9-py2.py3-none-any.whl
Download: [link]
Size: 1293510
MD5: 2721d3ed8f41851720e50881df72190d
SHA256: e00563e6712fd7f275c9b331fb47cf21555ade47c4c6ca682de18019b12d5db5
Uploaded: 2020-04-15 19:23:44 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: concise
Version: 0.6.9
Summary: CONCISE (COnvolutional Neural for CIS-regulatory Elements)
Author: Žiga Avsec
Author-Email: avsec[at]in.tum.de
Home-Page: https://github.com/gagneurlab/concise
License: MIT license
Keywords: computational biology,bioinformatics,genomics,deep learning,tensorflow
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: scikit-learn (>=0.18)
Requires-Dist: matplotlib
Requires-Dist: keras (<=2.2.4,>=2.0.4)
Requires-Dist: descartes
Requires-Dist: shapely
Requires-Dist: gtfparse (>=1.0.7)
Requires-Dist: tensorflow (>=1.0); extra == "tensorflow"
Requires-Dist: tensorflow-gpu (>=1.0); extra == "tensorflow_with_gpu"
Provides-Extra: tensorflow
Provides-Extra: tensorflow_with_gpu
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.1)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
concise/__init__.py sha256=lyIxg7l5blkXY8R8h3vu29nHVnME68n5rDPu70irB5s 1114
concise/callbacks.py sha256=DQNqINb9JwSMlWQHexgjFBpWzKJdAQHpYRabluPFx8Q 5270
concise/constraints.py sha256=9JJ5fiFqNa26l5LCUHfHjealGrsxCtRJYj70M0t26SE 1535
concise/eval_metrics.py sha256=D8fqPh0FrtVvAFtya0k4M-7ccros1jkkMCXKaTXkZaY 5531
concise/hyopt.py sha256=EdpaSxiWZAXoMzxhZds_akx0ksWYuqvYkEWVnyFzU88 31179
concise/initializers.py sha256=lcdIyM4RL12Pz8y2IMusblsMRBC1qGIlTIvHIccHxXk 9939
concise/layers.py sha256=GR1SH56zoTejCmpK0T09iwFMAkSDMfcKn_H9wydL3cU 28902
concise/losses.py sha256=g-z4uJJL9AU_Eg-faL_HZrai_sGEtU2TYHXRiupdrIw 4049
concise/metrics.py sha256=hIZJ_Y2b6iwsPB0yon9HrR9ydF_1nFyNfzDgG_z8MQc 4107
concise/optimizers.py sha256=ffin3OmFUGVniP7o6hPpQrRqUuFRN7E-9WDfYo_OsR4 9031
concise/regularizers.py sha256=tsjT-sHonmJ-gAu1S_0ivUUWkDqRKQm3Zh5SEqDw87g 4071
concise/data/__init__.py sha256=3JVBm9KLCfPtmSBtDRgWzw88f4fkxYInYXBGZWh9LVs 117
concise/data/attract.py sha256=EgYEvOKRnOOPbo4dIFX0lgiUDEKxI-FewXEtiACGkPY 1756
concise/data/encode.py sha256=oOIVLGM7KuwspQCyAVqUmaWl8p43HEYCA3IDz072mHA 1458
concise/data/hocomoco.py sha256=z_WpsT19gmpP7lcDuRP7YxgF9-1pqMdYE_ZCdaPCrHc 1602
concise/effects/__init__.py sha256=I1rwRus0VjJmbaCHRVJft1sfD6n5a6QZ_mLAjYAbyxM 134
concise/effects/dropout.py sha256=W_3Xc-Ci4XKhGUi_gedZTguYcCSaptj-AJh98ZJlf8s 12608
concise/effects/gradient.py sha256=J0NV-PYQua1i2knEFUrmeH3c6q3uAWoKyrGO8X3XWwk 13660
concise/effects/ism.py sha256=oq5HEOto7PkwFaTSQZCuGwKSiCnurm-QncXdvoGCjNs 4437
concise/effects/snp_effects.py sha256=Mz__v99u6VoGDdXONrsT04RJZVsZdY27Utw4znua45A 2462
concise/effects/util.py sha256=ly0_Rg1zdn6GtLt3SGcqOcVunXvJc9MUZlrrtJSNuwE 405
concise/legacy/__init__.py sha256=0JnbeMXdfj1C7fWEVTOj7LfeOZPs-UlM6YI5ei9zx40 42
concise/legacy/analyze.py sha256=pUZ05lSBtXeKj0Slmgaw1kUGHVZDQ-60yHZnK2gQCT4 3175
concise/legacy/args_sampler.py sha256=kDB1GNyxGgDW29NVmnSrHxu4qXRrirIhdP4Ydy1z_Vg 2426
concise/legacy/concise.py sha256=9wzjCXL7CFu40voW4nk6zOxKaW4eInCISM6mIM9r9_s 57770
concise/legacy/get_data.py sha256=tYwZu4DGQR0ZY3Npvy-PWpUg3A56GM4hKlXaiuJv-0o 2705
concise/legacy/kmer.py sha256=pKiwhZGJiWkDvQk76tbdDMXegE3JV4NqYEYtYBd8Ylc 5981
concise/legacy/models.py sha256=GlbjPmZBB38tv7kwuJ-fCWkgQbrUf5ViltZYqXz4KhQ 4949
concise/preprocessing/__init__.py sha256=vZ2u-dcyf-JQ4p7PmIGwiOtTG1F5gfKHObv5MRwZF44 337
concise/preprocessing/motifs.py sha256=tqft6lGt2JtRAIyXc-AOOBbXiH2-CfEXRFha4sdpR6o 744
concise/preprocessing/sequence.py sha256=sSd8wZpGH1IPCimZzVjJg_Q09A7dvIW0UnOP-dHZfZQ 13277
concise/preprocessing/splines.py sha256=jFaz4Tt6j6J-sCdtvzQJPzcycAdTbFNabVhUUFFdjGI 5057
concise/preprocessing/structure.py sha256=0iu-sutX2Zk2OHlDLSCl8FDqCgvZFOfyHH6YEvLy4jA 4999
concise/resources/HOCOMOCOv10_pcms_HUMAN_mono.txt sha256=LuOOHKqD758aiPyh5F0DYmzrymGUslgBcJDxCkiBRXo 465947
concise/resources/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
concise/resources/attract_metadata.txt sha256=zKlSU0V3a7shaK0yQ6Nhpb5T3U0ZI1-QvTSJH1u-39E 701558
concise/resources/attract_pwm.txt sha256=KMPFtzU1buQp-M3UODSRrqzll3CNQFgem0ohrwz9034 734112
concise/resources/encode_motifs.txt.gz sha256=jceFEo9CjYFZ3yGGHl1U4OG4Jes2kI2oDx2D83K7zwI 329623
concise/resources/RNAplfold/E_RNAplfold sha256=Ato27kY9_hZ22ivEeeMjH-LKsdt29lZmuJCgzWL42JA 662972
concise/resources/RNAplfold/H_RNAplfold sha256=Ub95sRb2UmjcjL4QjvvuhsEyKfhNnzJXzLcaM_P22sU 660660
concise/resources/RNAplfold/I_RNAplfold sha256=KdQ9SO4yGP8LCqPkCSB0BT7fJmDtUtjv_4GKKMQ8CIg 661259
concise/resources/RNAplfold/M_RNAplfold sha256=FQnJZSMWteTyCCyan8U-qpxSofeszqBI3Q-lvb4wUDM 661979
concise/resources/RNAplfold/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
concise/utils/__init__.py sha256=tgIgQxl9H7Pk2o5RJJfzpi27T7m6cYGXmmoNVwD8fCI 19
concise/utils/fasta.py sha256=xa_wuTsKp5sEFExbNYllyxHQOiEaOagyixm45lzpumE 1579
concise/utils/helper.py sha256=mZiWusDsZXDik1r60T49TKrfCz1FSvHUasLB9drSNFA 4130
concise/utils/letters.py sha256=WuULFLkZY1jWK12qB4y89pu4nWDxwMA9IBuozuTQQ2U 15810
concise/utils/model_data.py sha256=99HJLXvvlDURbPr0XvWzV7axJdB-X3sK9CGK8jkFYic 3138
concise/utils/plot.py sha256=SOzD9f5hwrjd8WWPWX5cmpdM-LblIwndPySFYkCHbpw 9276
concise/utils/position.py sha256=KJ5COSZ0jk7WeKzDkMdbEXnORipM84vyItc09qF8RoY 4272
concise/utils/pwm.py sha256=0CxNj_1Xwhm-h7kTafjCrRSgaPLSRDsd9LtZOeybtE8 10205
concise/utils/splines.py sha256=dMgoh5fR34Ewnj_oXseo9JGT06Ebk_T0rg4lREkLmP8 6437
concise/utils/tf_helper.py sha256=ANCEwDJNcNcyTnYz1rSZ_BU5Ge7OPr7cILYnjcbsyGM 1523
tests/__init__.py sha256=iwhKnzeBJLKxpRVjvzwiRE63_zNpIBfaKLITauVph-0 24
tests/devel_concise_quasi_X.py sha256=yUm-yzINKurmA_T1su9VDtQwj24d_tileTZ38YB7zxU 1030
tests/manual_test_plot.py sha256=JStoxbzB45sU9NyIz3VpIRh4RdKsqtmpl7WHVuZ5Fxs 2218
tests/setup_concise_load_data.py sha256=k_mrd4f-LHdfGeWvCP_I93qPsPqSP_BK3Dbuh7it-zo 1609
tests/setup_effect_test_data.py sha256=Qs6Sy6mX4BBvkbVwGGrrJIcYgxNJrKrkMtYj9lGQIvc 3900
tests/test_GAMSmooth.py sha256=osvDiJ26nDaD7-wbVHDCn4RV9ZMgIjYiXVsKgJ1CXdw 2737
tests/test_concise_keras.py sha256=0opWes381ibAmoBb_yGJhjSYLfjfMBYZ7PVhcIYuT8E 4079
tests/test_conv1d.py sha256=Xqgi38Jf_e1TBMLi1DWYHy3wXpKZtiHuRtEeG4cRAxo 4214
tests/test_effects.py sha256=LR_1Cw5lsXLAezmb0qzztXpIlozGnoy_pjV4mhR8tkc 9516
tests/test_eval.py sha256=GiE66aT227Kdh0OrND-9KuLoYWL6nrqpygIshLYfjDU 390
tests/test_initializers.py sha256=z3kNQVvhEFcuhmEnnfUIoLTvdfyk1OkufXnicSyz1Tk 4809
tests/test_layers.py sha256=BFAOaMtBoa67PoUhAN9czgwbP8HUxfmkW8sdrtkTxlU 3685
tests/test_losses.py sha256=B3Zxny1M_JcLLEttd2smNSb4OekFqzM6wRXQ7IA87gU 1545
tests/test_metrics.py sha256=eRUNbjPvf3NFBeMBPd3z95RzgVyVZvY5AiCS93tjS40 2372
tests/test_na_y.py sha256=qyyg1Ycu6SWqj4qfcf9Aehsb4AUt3-ZyWYFvF1HVMc4 1032
tests/test_visualization.py sha256=gh2PQ4lv2SjeBDrvQ4dCw1qSgXNPbmdhqonC2xjfoBw 5599
tests/data/test_attract.py sha256=fXV7CjClXoj4rD_nWX-4qJlNBSfYaicTaj1gbpXDOCI 369
tests/data/test_encode.py sha256=qjqzVotBraf0SGvYt4JB3qnLv_TcoWBmt0lAgqUxhSs 350
tests/data/test_hocomoco.py sha256=pngcAo-ivnrt2tWFgEhba67Ov-mKSS-lCtThz7wDnOU 360
tests/hyopt/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/hyopt/data.py sha256=OWFFa3cNNsrOPuaY0HCyjXnpaqN6wyYHRAZ-odcNk90 766
tests/hyopt/dont_test_hyopt.py sha256=W-hu_aeml9IDMzMBERmdo9WmuSGII6Hf2Ln0E6z35aU 6440
tests/hyopt/model.py sha256=aurKw51DPbXupcQPo-NrhsToChlr2CYWo8raGaFLvnU 1714
tests/layers/test_SplineT.py sha256=L_NscxJrUKXpJxdfHgz3tjfdAZVOeFP7qP748PAPuD8 1663
tests/old/old_test_splines.py sha256=qM0yeD1giIGJPUbwt2Jia0HDjALDOWfMMRrlFvlg08A 1638
tests/preprocessing/test_sequence.py sha256=jgIMeHnZK70Qzo1Sm3WQnO7u7FvZIklS2T9rWwbTN8Q 4100
tests/preprocessing/test_splines.py sha256=WyPsL_rCFGOeVTQ9zUnlS7O9dM6TEl1zFocHSgjJpEk 2050
tests/preprocessing/test_structure.py sha256=w-WJi3yTy_6WhDaq-grgUKWFqTUx8V5R0j3FAnBpy_w 1720
tests/preprocessing/RNAplfold_data/input.fasta sha256=KUr1wM0kpDnpBmUFppOVbkoxKL9_C-3Fyk2yCVfNG2E 620
tests/utils/test_model_data.py sha256=SwAR6ngVSR_wmgUKs7j13aypU3x1pDX_Ibtxwbx7Hj0 3460
tests/utils/test_position.py sha256=RJe2GS8qEm_VpXV-4wMHYUwem0GKcnIMFcItthszzZA 1828
tests/utils/test_utils_pwm.py sha256=C2W3Zkc-MOJMGzLnj1qald7MTfcDlJTCw-UrGDfDSVc 2519
concise-0.6.9.dist-info/AUTHORS.md sha256=z82mYediifN5AXmKwAr-aQcgSoH_2eA1Oqn8MP4l6zM 254
concise-0.6.9.dist-info/LICENSE sha256=Om9kftUEh4pqydPKZY9Yb9coXRvmypBR3Chxb4lgDoQ 1071
concise-0.6.9.dist-info/METADATA sha256=U8pPzeSzcdh4HYG-rvBUwuLR_z7npTXAFEgn6w85cjM 1206
concise-0.6.9.dist-info/WHEEL sha256=HX-v9-noUkyUoxyZ1PMSuS7auUxDAR4VBdoYLqD0xws 110
concise-0.6.9.dist-info/top_level.txt sha256=g5FsNZLbR2sV-3bv1B9xP04ow0h_ujOinW9zpLaiKFM 14
concise-0.6.9.dist-info/RECORD

top_level.txt

concise
tests