ncem

View on PyPIReverse Dependencies (0)

0.1.5 ncem-0.1.5-py3-none-any.whl

Wheel Details

Project: ncem
Version: 0.1.5
Filename: ncem-0.1.5-py3-none-any.whl
Download: [link]
Size: 143573
MD5: 79081f621803bebf51f1b0da3173b488
SHA256: 496e2561b136512241e7f07fc0ca7b61698cd04d778be5e57cb7f4a533abd117
Uploaded: 2023-06-27 16:06:59 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: ncem
Version: 0.1.5
Summary: ncem. Learning cell communication from spatial graphs of cells.
Author: Anna C. Schaar
Author-Email: anna.schaar[at]helmholtz-muenchen.de
Home-Page: https://github.com/theislab/ncem
Project-Url: Documentation, https://ncem.readthedocs.io
Project-Url: Repository, https://github.com/theislab/ncem
License: BSD
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.8,<=3.10
Requires-Dist: Jinja2 (<4.0.0,>=2.11.3)
Requires-Dist: PyYAML (<6.0.0,>=5.4.1)
Requires-Dist: click (<9.0.0,>=8.0.0)
Requires-Dist: diffxpy (<0.8.0,>=0.7.4)
Requires-Dist: docrep (<0.4.0,>=0.3.2)
Requires-Dist: joblib (<2.0.0,>=1.2.0)
Requires-Dist: louvain (<0.8.0,>=0.7.0)
Requires-Dist: matplotlib (<4.0.0,>=3.7.1)
Requires-Dist: numpy (>=1.22)
Requires-Dist: patsy (<0.6.0,>=0.5.1)
Requires-Dist: rich (<11.0.0,>=10.1.0)
Requires-Dist: scanpy (<2.0.0,>=1.9.3)
Requires-Dist: scipy (==1.9.1)
Requires-Dist: seaborn (<0.13.0,>=0.12.2)
Requires-Dist: squidpy (<2.0.0,>=1.2.3)
Requires-Dist: tensorflow (<3.0.0,>=2.11.1)
Description-Content-Type: text/x-rst
[Description omitted; length: 2710 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.6.1
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
ncem/__init__.py sha256=I7tr_KXHnr08rarrAVsJFZkdnYpk95CtqOhRNO15MF4 375
ncem/__main__.py sha256=h8duIPbRlowvHa6LJ8HaDyl3SDzq4PvrUd6dzGRgv24 271
ncem/api/__init__.py sha256=ieCxtAVuib-6jj0TM_hIr5he7nwywbtmBOKl9REC3Wc 52
ncem/api/train/__init__.py sha256=CzTyk7YGsCH3WSx_65TACt_NOGkk9mCwV0BCl2fqd5U 446
ncem/data.py sha256=PXlrroTxw-JDwcd8_c2Exel9n0dYivqy5uibmW8kFg0 157232
ncem/estimators/__init__.py sha256=lT6GSxzNNJJcU1Xn8kytU6RQ9GDMPwGouuYKVL2TybA 768
ncem/estimators/base_estimator.py sha256=LljbFVHjSq-14cY0ubdjbmoJfNJhEZ36LRtc6UegH3s 101048
ncem/estimators/base_estimator_neighbors.py sha256=ysgVWT6t_YIFCsF4W3KHiiUMD-_vMS5LgrXTJ5x27_o 9842
ncem/estimators/estimator_cvae.py sha256=vuGbNW9DUjKl4QpbtS4fHxo9BYBCDtdVgfMtss8JOJc 6811
ncem/estimators/estimator_cvae_ncem.py sha256=AMC7gAuCo2fbAMTcw_aLLsy7kU47hnfUSkEG-gMCHQ0 8603
ncem/estimators/estimator_deconvolution.py sha256=OJDA8zHB4n-ba7_Z6Md2-ZTazBxKOeuDDXfPqnvcLTs 10368
ncem/estimators/estimator_ed.py sha256=CeCKa1PVrRmhu8EvAxuMSoW3HNqI91e_5LTOmZqdmGs 3901
ncem/estimators/estimator_ed_ncem.py sha256=IyL9dnPhAltcCLdOZKZV70EfvNNOSXH9sXZTxPBDRdM 9818
ncem/estimators/estimator_interactions.py sha256=pi-jCq9tS6GjriyeQxdEgshr1w17tulft1JunbwXN5U 10810
ncem/estimators/estimator_linear.py sha256=Q0q4hwTRXuZdRsYfx6SoxBjkKEipNwrimvJ0JLuIn-A 9745
ncem/interpretation/__init__.py sha256=EvW6AeE2ToqaBLdzHEtBqNw0IrjDn3AQikpx41NGJNM 457
ncem/interpretation/interpreter.py sha256=iTCxioW-6WDF-RXGXRNqJMa3VAhQ8Ny4xifMXpMbvs0 80734
ncem/models/__init__.py sha256=Oz5eT_vEVG3taeX66eKRlOPZMqZFUA0K8QIeSB1ftTw 455
ncem/models/custom_callbacks.py sha256=UBVBCBvRu-MKNTg7fCn1oazVmGmm2Ua9yx3GgqNo5AM 2075
ncem/models/layers/__init__.py sha256=rxnjI8ayqpS6fCLan_e6PkBA0urX8pMr5HZ3-Ew2W3A 1007
ncem/models/layers/gnn_layers.py sha256=P0s5EDhyqj49_lJpLOYwNdjNhwYpnPgQhoTdr5ST1CY 3692
ncem/models/layers/layer_stacks_lvm.py sha256=Zdcn7HnCdOifb0YBIFEgcWBXDJnGSQCQwpL55y9mORI 21947
ncem/models/layers/output_layers.py sha256=GVvDGbD5pRkQvDtYWkLtu4YmrRjrfZBhP0QmlwVIYNg 18334
ncem/models/layers/preproc_input.py sha256=8cesXvYCjbGNJGoe8ievNzqTMq4DszY0rHOiG7CEMFw 1989
ncem/models/layers/single_gnn_layers.py sha256=UoZ2JVd2PlADyipDm7jLYMUNhwLCoJse47QV4sZ_C5A 7468
ncem/models/model_cvae.py sha256=cAMIhDAo1HLMkKhFUu2IPt01ZP-RCCrZPhL6jxSNV4U 9256
ncem/models/model_cvae_ncem.py sha256=lEgT6LchFuJWdvJL8ooyOrX6QmBnCnCNiP5ZWNcDc0I 14895
ncem/models/model_ed.py sha256=Oc8BRNIVS1WuVLQcRoiZDw-ZL8nqKsiLb3SJ2B6Z_AY 5994
ncem/models/model_ed_ncem.py sha256=vr0EEcAdxSaFcZQ5lefeI6dAc5rolbEbZq1-bKQkG5o 10564
ncem/models/model_ed_single_ncem.py sha256=-5koZQSHpRbbsjvwwZJRUN2hdGAxOtsgOTMjsv9a3H0 6277
ncem/models/model_interactions.py sha256=-xTrDHodFNb_IEI7JkgeR3fhP3DK0z4Bf2svUhADf5Q 4677
ncem/models/model_linear.py sha256=PtClBfMzmO_D8W6jnE_T7q5Wb3ZkixG_jloeRlWEpbE 4484
ncem/pl/__init__.py sha256=44WF8-vRz-5VsI5wbn2lHahvGhu9NYRXDHd0OI8J1YQ 142
ncem/pl/ablation.py sha256=yb_XcPN-UUTwKG9IYcUr_d2y9JfBbWU2WtZ0lVPdO2k 799
ncem/pl/input.py sha256=uPKDGrQYvXtIm_mM78-mhOueYu7hz0Dsehg-tdZHjf8 2596
ncem/pl/type_couplings.py sha256=_WN1sLj5xWpGUEQRfzvVpXUtP16Y_qQCAeZji7u6Tmk 7550
ncem/py.typed sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ncem/tl/__init__.py sha256=27vuF2IzUyc71FsKt-mXwm7t3yJKruWb5-4QJvjCPYQ 496
ncem/tl/fit/__init__.py sha256=rsKQ56Zf_DYtM9U_sPR5qjLAgCpm06CXdeaVhNld58Y 29
ncem/tl/fit/backend/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ncem/tl/fit/backend/ablation.py sha256=X6CbMN9xq0MhA5-BYbCUE0HjBxbL7bCQgWvnfRYXvCI 3225
ncem/tl/fit/backend/design_matrix.py sha256=Vz_sGI7T5aBeYIEUp1WJFn1T3gi-ZC-mxWovZDHV_48 16856
ncem/tl/fit/backend/linear_model.py sha256=fOUdrQE5v_ZKnAe5YXI_HdWxNwLnNsCe5UB_8-1V0NY 12689
ncem/tl/fit/backend/ols_fit.py sha256=Tu-7q-viw1hNsTcpVhcQNxyeEzN9g3NjQvd4MFnGEMA 435
ncem/tl/fit/backend/spline_model.py sha256=BeaEjdI9zataKEfefXJQxO4KsxNXoUbbLKMJoE3vqDQ 14293
ncem/tl/fit/backend/testing.py sha256=Vt2hj9Ft8NsKgCeOSqz7gQgyZmguARklQjN0AF_fvlM 8529
ncem/tl/fit/backend/utils.py sha256=UhxDdh4aA1Sq8AeMTPlfTUdi6ldwGbHLSjDyqkFJS0g 534
ncem/tl/fit/backend/vardecomp.py sha256=_2zVxxg6H2fXkPPOA5XClqKs1yuGTJz89QqEXdLMsds 2267
ncem/tl/fit/constants.py sha256=CpqwlkadcQsrDayLOAOR6cO921ZMrHb0lbYVG3pvYV0 2074
ncem/tl/fit/glm/__init__.py sha256=lkUGZuSVAbkgrJBSPDMWqD0e4Wp2faOtB0f2jBK9VjE 477
ncem/tl/fit/tf/__init__.py sha256=DkeLUlrb7rGx3nZ04aADU9HXXu5mZTf_DBwT0xhzIv4 7
ncem/tl/fit/torch/__init__.py sha256=DkeLUlrb7rGx3nZ04aADU9HXXu5mZTf_DBwT0xhzIv4 7
ncem/train/__init__.py sha256=ISYBGDPSq9QhbQ2lQLt5JbwqZkmEbDTkVgMZBculpBs 459
ncem/train/summaries.py sha256=ZCZiwSS9GzCyXgZLuuLZL49GwCLF4jSqjOTLN81hicE 59745
ncem/train/train_model.py sha256=FhqL-t9CiHxgEs8E4xFl16kXxuLN380I_UUT5vsEy_E 10192
ncem/unit_test/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ncem/unit_test/data_for_tests.py sha256=OeMa91vdo5m_ZChm6RsLco3_3CP3RihewWi2P7eeBRE 2554
ncem/unit_test/directories.py sha256=mgkQYO_mOdeBE3fac2LDu4s14zpWmTa8EhO4K_Ae6QU 532
ncem/unit_test/test_dataloader_local.py sha256=pLLyuuStMOtgIOmtLAjq09GrrNydPZL_tbxuu9izV1w 1976
ncem/unit_test/test_estimator_local.py sha256=zJVma-gUojTMZaptwRRXxJl_uA7BRsheNH6wLRXA9k4 9253
ncem/unit_test/tools/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ncem/unit_test/tools/fit/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ncem/unit_test/tools/fit/test_glm.py sha256=omJAUo5mX1VV8qSDKm2eK7raEKKdX_Qbm0rVPzG1kx4 5755
ncem/unit_test/tools/fit/test_spline.py sha256=FcxcbvgM_6kkTy99Xd9Ra929UOjPpVJCJTQme-NA3M8 5238
ncem/utils/_utils.py sha256=qvXl8cdlsHKoCm_5f5Agn1HHkJ4e3nbxfLW0H54v2SE 426
ncem/utils/losses.py sha256=p9CMuUQw5NqPUudPFjD9GEtf_wPZbUfz6n9WfbeJKpA 3104
ncem/utils/metrics.py sha256=j7mNoy9CmHaAm4VyeHIUfDHbuAooFc35By4d3dZqXBM 6709
ncem/utils/ols_fit.py sha256=WX7sNwjElAQ8DWnjd0EWP5L5IBO3yJjnLtG7kZaUtu0 213
ncem/utils/sparse.py sha256=Mmbyk3viSgNJ8LeA1jn8LKhatDSGvunCmPPzmzQzqD8 916
ncem/utils/wald_test.py sha256=RRNOPn1vFWsAIzZKOqQnpyTyjcrwud1MwJ2UauRA_-U 2060
ncem-0.1.5.dist-info/LICENSE sha256=xwuUKz6FrjFvnUVxQ6NsiyhUF_s4zplPDQyYXNz2B2k 1517
ncem-0.1.5.dist-info/METADATA sha256=GSvy4N8mMpSWMYGHYwV24UBn79tFuiLygjkqcCuvQ3k 4010
ncem-0.1.5.dist-info/WHEEL sha256=Zb28QaM1gQi8f4VCBhsUklF61CTlNYfs9YAZn-TOGFk 88
ncem-0.1.5.dist-info/entry_points.txt sha256=J_1qH5quX9mtQ_LXiV_NYTnao6AOWUuKR7LmvYuaNJo 43
ncem-0.1.5.dist-info/RECORD

entry_points.txt

ncem = ncem.__main__:main