Wheelodex » Projects » snetcr

snetcr

View on PyPI — Reverse Dependencies (0)

0.1.4 snetcr-0.1.4-py2.py3-none-any.whl
0.1.1 snetcr-0.1.1-py2.py3-none-any.whl

Wheel Details

Project: snetcr
Version: 0.1.1
Filename: snetcr-0.1.1-py2.py3-none-any.whl
Download: [link]
Size: 116795
MD5: 5f933e852403d7be46986c5280e68b38
SHA256: b2557a65e52050a1b4c13f0df54afceece09db65588ed2268cd7056f3b42533d
Uploaded: 2024-09-06 16:20:51 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: snetcr
Version: 0.1.1
Summary: Pairwise distance calculation and neighborhood enrichment analysis of TCR repertoires
Author: Sebastiaan Valkiers
Author-Email: sebastiaan.valkiers[at]uantwerpen.be
Maintainer: Sebastiaan Valkiers
Maintainer-Email: sebastiaan.valkiers[at]uantwerpen.be
Home-Page: https://github.com/svalkiers/immune_response_detection
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Requires-Dist: numpy (>=1.23.5)
Requires-Dist: pandas (>=1.5.2)
Requires-Dist: faiss-cpu (==1.7.3)
Requires-Dist: scipy (==1.9.3)
Requires-Dist: scikit-learn (==1.2.0)
Requires-Dist: pynndescent (==0.5.8)
Requires-Dist: igraph (==0.10.3)
Requires-Dist: networkx (==3.0)
Requires-Dist: olga (==1.2.4)
Requires-Dist: leidenalg (==0.9.1)
Requires-Dist: logomaker (==0.8)
Requires-Dist: statsmodels (==0.14.0)
Requires-Dist: matplotlib (>=3.6.2)
Requires-Dist: parmap (==1.6.0)
Requires-Dist: pip
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 10497 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (72.1.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
snetcr/__init__.py sha256=rGJznf_hxi1FnGqaofxWeNXytMtIXcl_vR5Tyvf6zXA 239
snetcr/_version.py sha256=c1wH6jAtjsWN-t_IvA7JMBliwJYClvM-bAbWOcNOjaY 497
snetcr/analysis.py sha256=R_Vqrivp1Lthh_OlmASewTbEnWbXILO-ns-U5aCn2s0 3838
snetcr/background.py sha256=syOyaWFL866GozERg3yKYm-VMuiSda-OKqeVZkrygZE 23546
snetcr/datasets.py sha256=nAGSC10wgOC7ox_81pXi91CZP2LgBG82kDdAVRqpz3M 330
snetcr/distance.py sha256=u7WPt9Ql_cujYfbWnB82gQmeqAXWv87YFAzbtQiRKNk 4919
snetcr/encoding.py sha256=qTaSJSIaBHOW7cF3q0jmg1sFG8yEN5hwXNIp8P7hQWc 13006
snetcr/export.py sha256=gaP5stYVXkZOW20MbXgJym7bYUbRl9yaLDCrkFIbkUE 2826
snetcr/indexing.py sha256=XhQUaHRxIdjSsRdT7Y-ACNF7J6dr_-5jBj8ulDZv7dU 15149
snetcr/neighbors.py sha256=pRP3XJAmtcVBPxoTAn0R0VRJQRF_VhnJrp6wyM4p5RQ 47562
snetcr/pgen.py sha256=9P3l7VJZF8LoznwNPHN2hv7wDlFBc9kvW1qb1K0hWpg 3790
snetcr/readers.py sha256=p4oHqEQptyVkxT80PaublNujisFHW0Vw5k2sZRGL358 3424
snetcr/repertoire.py sha256=iNqpIxRlVq6bvN3ymjex58rGJfwfECzAKaimx2jsN9A 6864
snetcr/tools.py sha256=LI_gURcfUS476bC7o0p_HKgcZQZ6gTNxnV6DYfo0PLQ 3385
snetcr/viz.py sha256=1PFQdLuS-xo4yiMiGuNleC0QYfJn8K2sRlXQSIvZRXE 2096
snetcr/constants/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
snetcr/constants/base.py sha256=I8yA8FPqkVHYLod5kO8BbxR-hb5KYrjVHipn1YgdGC0 124
snetcr/constants/datasets.py sha256=uuuOLDrnJazE1Hk8xY9lhxATsrF-89LE6tevUDxhVVE 2362
snetcr/constants/distance.py sha256=YnObFEN71765Sej-4Q6hgySFX8DP5UQFA2fZ8yOteZY 2037
snetcr/constants/distributions.py sha256=bxezG_D2d7bBEYwYqlQSgeeWZlpVyOZ8okEcI3RSUJo 1721
snetcr/constants/hashing.py sha256=_8Ro420_AqUQupeLHoBeb_cM01TqlbDCXFyI2PH0e48 2853
snetcr/constants/parsing.py sha256=-q0pV85TzOR1pOx54U-TjsbFOHNB6d1U18T5iteDNo0 11616
snetcr/constants/preprocessing.py sha256=WGK7DYzMI3WDx9TmaJK2X9lH7fVNfcgaRUwRBuMRo3E 5815
snetcr/constants/tools.py sha256=ETg6kQGltoQpI9qxRSntdENyqbc7AbxU2bJUQGrJTEM 1510
snetcr/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
snetcr/tests/test_analysis.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
snetcr/tests/test_export.py sha256=vp_vsxGbXHRswA2Fq9yHn6qu-gNRkTRDw6pH-OfX5lI 1493
tcrdist_old/__init__.py sha256=OfnAlrr17gjBx--p4PCQyYpVA5EI21h9HtR7uTNHqSk 195
tcrdist_old/all_genes.py sha256=AsVrcNzeaQZ3MD91YiDPkjNm_bBpUzVF0HzcmV9ozJ0 11930
tcrdist_old/amino_acids.py sha256=yFErkXtc7SFgt0ECSjFky7i7umRIhxw0iYknck_w6Q8 2237
tcrdist_old/basic.py sha256=eSxES8R2ukZDywC3z1ed0OkO5I3kkBwkWwtwTL2fVNc 1027
tcrdist_old/genetic_code.py sha256=wnzbH2ePXOyIHdRd1rwNzsNQsr1w1RLWfUf4Rnyru1Y 4048
tcrdist_old/html_colors.py sha256=qGe6S64YPirrF9PhhZ3KeQC2wyWQDYC1p-2maRQwDUI 7062
tcrdist_old/infer_cdr3_nucleotides.py sha256=x3_YPrKznNCmKc0_LK7vv-9jjlGHFx5Vyl8QAdIZW7s 5939
tcrdist_old/logo_tools.py sha256=wAwZZgDY3zB-QdRDOUh7XeDVk6-AxlKDIkj8fuiiO4I 3863
tcrdist_old/make_10x_clones_file.py sha256=6JxKo1pS5qjl0a83tdMHFryNaD_uDujHEHvHmsSvNJk 32379
tcrdist_old/make_really_tall_trees.py sha256=weTnvoEbpCZK6i8-7bYace-J3GqnhDWgXaa2pipHH0Y 13563
tcrdist_old/make_tcr_logo.py sha256=L4a-ecBExSOIoO8bt9Nnlvnf83dqyF3LJKtVDeCNMMc 21123
tcrdist_old/make_tcr_trees.py sha256=JsSOBgfc98T9BWCM7Rxz3CKUhAbE-sX-5RWKG1cUVEc 14918
tcrdist_old/score_trees_devel.py sha256=C4rDhIFKoXHnEjdhmTTHYXklw9FtpiC5nEyORw2XySc 15061
tcrdist_old/tcr_distances.py sha256=OP1Qj-1qcbZfCGaxlaAynDd3uNR-hX-LPyFxr8Bsh5M 8817
tcrdist_old/tcr_distances_blosum.py sha256=HdATQwNTdB6np4hAeDxmu05sbZgPPZ5gPE4ks47C7bk 7528
tcrdist_old/tcr_sampler.py sha256=2-Thu6oW_syHrBPkA9A8AwaEfHZOomvHf0oZN6oaxeE 28287
tcrdist_old/tcrdist_svg_basic.py sha256=2FA5UD1-w9ukXvd7JKYDg8o4QweQ5ftHaCM8i676dbI 17738
tcrdist_old/translation.py sha256=fCg6PEfIQvpomAlrTUo7zfKpbYpKmZWZHswgM0KYmHU 1878
tcrdist_old/util.py sha256=E0lZHYRt7bQxkqGeJMqATSTYc8cPFjtSTSB_uhVBAdg 9249
snetcr-0.1.1.dist-info/LICENSE sha256=rvW9yRVRAY6PzEiwKKEkrXwmtxyqQjKpLRo-9yr82Gc 1293
snetcr-0.1.1.dist-info/METADATA sha256=X8ROeJn4zzLY9kOCZwclBuCIKSYBVu5uqcdHwNHBXAE 11636
snetcr-0.1.1.dist-info/WHEEL sha256=XRxW4r1PNiVhMpP4bT9oWtu3HyndxpJ84SkubFgzp_Y 109
snetcr-0.1.1.dist-info/entry_points.txt sha256=ngrnyB80V7NdO2z6MwbwCiHJ0MLgePG-rlDKs89NFys 52
snetcr-0.1.1.dist-info/top_level.txt sha256=xPOreIBwB_hOUSmEGUWZnSFIb9phVjXzhMraZL__vvY 19
snetcr-0.1.1.dist-info/RECORD — —

top_level.txt

snetcr
tcrdist_old

entry_points.txt

[console_scripts]
snetcr = snetcr.run_pipeline:main