scintilla/__init__.py,sha256=xjXxjFBYIrjw50g4lPcT8cjfYiGo_jFrz8agl-e2_64,5321
scintilla/__main__.py,sha256=5-bTGJ_PM58QYLKQEzPbRMT0uLqKsFjrwKcCZS_dp_w,121
scintilla/_compat.py,sha256=gF1y6LTlysWtPY6cXTXxSACmNRQTxNlZmhzWSxpJvuQ,6360
scintilla/_logging.py,sha256=B6ERarSfNWIggyHEtOn46VoNhefpDh7mU77xZAhsibA,2711
scintilla/analysis_config.py,sha256=DfsBrdOfzRgLkMMZXierZ9jpjcb5ZeVjZxzE0bhrkeU,12588
scintilla/config.py,sha256=UFMy-Q30cTgYqE5AeBcfYv_UKqiMZ_-bB7tQdXTG-lI,1089
scintilla/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
scintilla/settings.py,sha256=GQHbXMhRCCGyRqXVU-efNi1oPDOLcme7uT6uFxsPHW8,2116
scintilla/annotation/__init__.py,sha256=eKUUn5jB2mO3X7Y4baWpT9VOLg3l6XWTyhtNKvdXU28,391
scintilla/annotation/label_transfer.py,sha256=9n3p6_2BDZo_8bxTlPtk0lhLb7_w914cOklqHXbbNPQ,4240
scintilla/annotation/marker_based.py,sha256=qHKQ7BVDdWVmLD-Q7kOO541Xi92XF7h_2n44NdpFHkA,4498
scintilla/annotation/over_representation.py,sha256=nSdOQrYd2lOT0MWEw7DK_VLvq8b9bDwkULXwI_h5wRI,2228
scintilla/annotation/rank_genes.py,sha256=jhU6DFdS2itpWBUH-j3X68TyQBvB-47ZcZCUjjEEalI,1405
scintilla/batch_correction/__init__.py,sha256=v1ucWEK5-PcJdEVucm1ljUW1uMRPv0_2RCJauFe7bWU,379
scintilla/batch_correction/bbknn.py,sha256=quJxiLZuCHjHmKqRsHymCxoDwjQfnzMAYek5QnTx3CU,2223
scintilla/batch_correction/benchmark.py,sha256=k0-fnyXgH_OkjJ0rZzl0Mir_49I-GHyYqKjfv7nM_ug,8983
scintilla/batch_correction/combat.py,sha256=U-8kq9KwX-l3xaO7GBmGELdhOasseYdhBuofE-LXMgU,1853
scintilla/batch_correction/harmony.py,sha256=UjVeOgFdxa6gek9BjsFNXP_iY9duTg1TwPtKLretXYE,2795
scintilla/batch_correction/metrics.py,sha256=i0tjUEO8DSFCoIC0BEI4sBPNlXshlVLEpGmtbmP2GJo,6161
scintilla/batch_correction/scanorama.py,sha256=LZ_0MiSgnsFI_8OEhongIYA8sqFPXP_ZMq9pMnC-i8U,2562
scintilla/benchmark/__init__.py,sha256=Yu5Vfy1dgljhgAazjxnjlgloybNMEoUiF2mGSb1HWHw,1651
scintilla/benchmarking/__init__.py,sha256=utajrBOzyf5D-6qR8faua-Ib6ia8QFdwmfz8JBvCLzA,696
scintilla/benchmarking/comparison.py,sha256=yxTZX8OiCKzdTncxQ6iX1flxb0U3Ixdcs_PdQNOO0SE,4130
scintilla/benchmarking/profiler.py,sha256=ygDk3YXP9FQWM3z85qsBsSs7zJQGRUTTEH3e9NFxlSU,1034
scintilla/benchmarking/reporter.py,sha256=kVkRaVMvstZh_M0lzT5G4SnT5uym-8Ao9uMzkL2Bflk,2691
scintilla/benchmarking/reproducibility.py,sha256=P4dSg10iPEaDjcykguuKswv-Ve1JWorukVYdHrGCL3U,5851
scintilla/benchmarking/scalability.py,sha256=nj8yu9OTaQk1fOTpHlnNRk8iWAuoV-83Cmpog915Jvs,6344
scintilla/benchmarking/time_estimator.py,sha256=moFWILImDvccR6i3Q1bYbN3nrpE-dGBD2NZm0L_mAQA,37205
scintilla/classification/__init__.py,sha256=0stsA_un9fycSNijCegP7bZMazRDxnjibngYZGnbktQ,1037
scintilla/classification/benchmark.py,sha256=Vo7Eg_h5G0MOxeVVBeGvCHKGG2ZnRFkLwvKB5kewkwI,20685
scintilla/classification/diagnostics.py,sha256=NCcoKrmIb_PrHi5LGK0R49Vu72A3CrQ2pty4Z8dndVI,4619
scintilla/classification/feature_importance.py,sha256=gtJMi7UDxxhz1Fzh4e1ntSK0rd0kJhRNkNGKGhKoKSM,2555
scintilla/classification/label_quality.py,sha256=egVUMtWu_X13L87OcO4D_w8sHNJLGxt7Zkw7oYBuYKc,4321
scintilla/classification/label_quality_variants.py,sha256=3BcIC8GhY75lpA3ZXeetkY-lyrAAjOyC59M47tm8h3M,8856
scintilla/classification/models.py,sha256=e5qtBaxToZJWqk-MsnMpEQSpHaSrY1lFgmb-n83Np_U,9385
scintilla/classification/run.py,sha256=VR7hYV11mbT8PDea_m91GkM9rs3p6A1wpl2pdUac9wE,15357
scintilla/classification/visualise.py,sha256=VJsNwwKyCQwVkKIWk0LMb4lmZd2tGzZRRWSG7okKMPE,28480
scintilla/cli/__init__.py,sha256=TjwE2cZuyZaLVGFmOeLU30nqDQftqMjddKJSkMlPnHE,23
scintilla/cli/main.py,sha256=HeCmXLRfXAW_Y3WIykYfR5c4jBFWL_sxgM6RLj22xb8,3561
scintilla/cli/commands/__init__.py,sha256=kFAXBcdNf6QGQVVTfO0I5-Xom0QOJ_kTfyIe-P6ebh8,340
scintilla/cli/commands/annotate.py,sha256=fzgEC_H9BXlQDOG6QETenSqnf-CkSf_hLNeCPeRtigo,929
scintilla/cli/commands/batch_correct.py,sha256=_AG3K_Ay9O8KJzFVKrIFE5jcZQGlZrB-2X3sOY2FgYE,1156
scintilla/cli/commands/benchmark_all.py,sha256=rbzAw5mQWqxWN-QE_Ko-tjqsTmzHBsVV924tbbU_7Uw,1914
scintilla/cli/commands/classify.py,sha256=t-Dh5evUnV3lPiLHFc4xCScDExkiGKAgUFsdDJ6DKEI,1445
scintilla/cli/commands/cluster.py,sha256=imgEk-s8WE83MQORUCysyewktK8GJlaF6MWHmzM_4v8,1406
scintilla/cli/commands/de.py,sha256=yA4PBPNXQZA0LO9XJ-I1sCPPd2olkg69OJKPiIai6Jk,1372
scintilla/cli/commands/eda.py,sha256=OA_CMZ4ln5XDcuIKoV4RYk7K5_qkhUT5-yaGyMiFJt4,705
scintilla/cli/commands/estimate_time.py,sha256=xa-RoVD5oIkHMxCFMVzbUOeNdM2hiblOCza0Bad-NWU,2763
scintilla/cli/commands/feature_select.py,sha256=DcOGA5j3UciHKhm_yj1mE6z1203atMQBTnfJOywjOVE,954
scintilla/cli/commands/generate_config.py,sha256=1SdCLK2Z4VYlAPr05vqhfkVB9PCg9hv71j_jRqVNmsA,502
scintilla/cli/commands/label_quality.py,sha256=85uY1GiNNgRA5KdIadyrjb5gmAHibHoJA4EE5xdBkRM,2534
scintilla/cli/commands/normalise.py,sha256=4dDlLyaYxJ8snkKzd8P_XTVQcSyEenBHGomGeZQuv1w,788
scintilla/cli/commands/preprocess.py,sha256=S4bmkhHhLH1Y0NKppqwWyPTnui__RaD31ghjKCUgrEs,833
scintilla/cli/commands/reduce.py,sha256=zYCn2EgTyP3XHRXMqqqCzs33i9sak3XR8ZVaUc24_us,1173
scintilla/cli/commands/run_all.py,sha256=j-fR1YGQIN-sfoZbz2qeLz8mUu9FbCk_Hlt49BB9tik,1915
scintilla/clustering/__init__.py,sha256=aOq8jR5R3Qk2yaONHxPSg8SIGKOuf5V7f6NME7jN6Jg,864
scintilla/clustering/_common.py,sha256=Kj7sMb9CjfTYd5uXAlIdtR_EuUr9gg9tq7wJm5z_cBY,1665
scintilla/clustering/_louvain_compat.py,sha256=Aaw5sCec0xXSJhTDVuCxAs41weZ1LnXV26F5FF1hEc0,1654
scintilla/clustering/benchmark.py,sha256=cyAz8saN-GHEqpGUkMtbf0KGuqxd9KgGpMAQ81X5xQI,19120
scintilla/clustering/consensus.py,sha256=XhT5EIDpON6vNQmMak0sMead9oaRM_jmhZGePoYKMrQ,7468
scintilla/clustering/dbscan.py,sha256=7Z6Sz1uTPV_QnE8xjowaQ3aTCfWKPRRmDHpBY-ONkjE,3199
scintilla/clustering/hdbscan.py,sha256=_EKSSOcqR2azKR8w8naleTtV1S9k2NreHRSIjnfpWdk,4356
scintilla/clustering/hierarchical.py,sha256=312PK4SdpwcgsVV8vXGm3n14x7YU-LXEtV0tUKeUHT4,4309
scintilla/clustering/kmeans.py,sha256=q1wQjtrncZh10G-2ZCrWZaqIOFJl5-c8UUERnPGrdj0,2499
scintilla/clustering/leiden.py,sha256=c7tSZULjeXTxCaK6GHNm7ldQvzT1P8w-16ou5nfs6tY,2466
scintilla/clustering/louvain.py,sha256=GLukUQZkPoaB-0fh2YYi5qac1Qreqh9c1koHKCJHuDg,2572
scintilla/clustering/run.py,sha256=BJFNtMYrW7gnOiom8e9X540VMtCqTKyhXja9hhDKOrM,8777
scintilla/clustering/similarity_assembly.py,sha256=bIKom-nLDJ2fantmL5PDS_ugeusr0WUpfsoTL9dmxww,5662
scintilla/clustering/spectral.py,sha256=Yb-JsFfHIwUnd4SdR-WMzUa_5xzzMTcN0TceI-Ia1T8,5693
scintilla/clustering/utils.py,sha256=q2uu3K2cqpDszdaAcvvbYuYS-H0GZ53QGTy_egoG2CI,1360
scintilla/differential_expression/__init__.py,sha256=4j35lJl7EK0AXKXz11Gc3hcka0nOd142hh7WdXQtzbI,809
scintilla/differential_expression/_common.py,sha256=GYfv3O5U5aPon5uLdpuY_RW8zX51lNuMu175h66uZsM,1547
scintilla/differential_expression/benchmark.py,sha256=KkOs3lTl2A2iSTf5AwKLX7MMAajYPXS-qgAUhPu2e6A,2119
scintilla/differential_expression/permutation.py,sha256=T8z0LA5yNS3wmPdiroPpdCgBGfE0eG2x088hGw5ngs0,4479
scintilla/differential_expression/pseudobulk.py,sha256=JgI6c28CLCMR15kGlSQxRI0LmtKFSJwHpQNIsz67l0c,6116
scintilla/differential_expression/rank_genes.py,sha256=rK13WIab0icTT9y5QLg2Nk751uAsl-hn_JaLtmwcna0,3325
scintilla/differential_expression/ttest.py,sha256=glY3RoVKJFFzsXTI5JiBZ1s43rk37kYyVuauQ9XBxVQ,2636
scintilla/differential_expression/utils.py,sha256=p8cqDFpVS8FWW5MkmhTvWpdNI6XowGUJb5DMpJTsV2o,2416
scintilla/differential_expression/wilcoxon.py,sha256=WBxTVsit6jWkC96tZnnRQRuaequmBBXFgvQ33t2WMF4,3235
scintilla/dimensionality_reduction/__init__.py,sha256=7mLZ1I05Upp0gPrs_9RaOvlMDudrMuSX4MtPZZXJ1nU,531
scintilla/dimensionality_reduction/_common.py,sha256=6EvXaIUzmOcw7nhelrrMxKePKwMmEmiDV0ZP4bMVNos,1964
scintilla/dimensionality_reduction/benchmark.py,sha256=kcN2FqGTKfmIdCGmo8f90217JW6YCYKsP68OIeUijfY,2822
scintilla/dimensionality_reduction/diffusion_map.py,sha256=-4dIlFkTZ0f1HzI9bLCnxDV1V7GBA5Fxgc_3VDnoiAI,2019
scintilla/dimensionality_reduction/force_directed.py,sha256=3QL421C6XrEfmBl2HQtH6fIqPLI2GYsPpYzFUkMYLxI,2536
scintilla/dimensionality_reduction/tsne.py,sha256=742_Kc0H4utL68-5PVkBh5xFyV8zhQHet87kMP65Fx8,2459
scintilla/dimensionality_reduction/umap.py,sha256=rapfdQ1R0zD73Oh5kl10Ym31JRUpn7aK0fwzoxCcllc,2435
scintilla/eda/__init__.py,sha256=tVFN_ivU1kBbAZhdMBFd26KQLRzGhLH-VWIJCSUKABI,248
scintilla/eda/summary.py,sha256=__kRNpZ0xrv5PAu4_KDqtPhebRLa07xcNYPWKLzlaMg,4857
scintilla/evaluation/__init__.py,sha256=tQWCyLxrjLoNaFAQSkzkuFMdHgfqzznW8LIp9O4Z2dc,1439
scintilla/evaluation/batch_metrics.py,sha256=AFuA3DlVBur_n1Qdc8MWkIQ-CsmHCZXNuMLdKlm25JQ,5395
scintilla/evaluation/classification_metrics.py,sha256=CEIdd9ypi6Go6E1UIHZJpJ5NFWqT7vrmd28UO9sm6E0,5729
scintilla/evaluation/clustering_metrics.py,sha256=XlwPAzaRWrEDIMyMSrfh3FieYVohmQlZleP332u9lg8,12500
scintilla/evaluation/embedding_metrics.py,sha256=HGF-sIIbby0q7hczAe-HSosVPGwaP5K_FVGHZ2qgizQ,1411
scintilla/evaluation/patient_level.py,sha256=dRMIa0N1zGwXlEQKM4-ifuWJ3LJ8yptHoCxd3EUogHM,1918
scintilla/feature_selection/__init__.py,sha256=EdsBaZIuV11EfcdwpJ_XWzlP1UnLE2pBvb3EbejHfy8,832
scintilla/feature_selection/benchmark.py,sha256=DyWdq5f5BlEpN9JVeaBhW636uJtT9a0jvgAqtgFjRqc,8416
scintilla/feature_selection/boruta.py,sha256=kHUIlXh_35cZKf9DfRE9qqzdxxCwpt4_xFPxgHw4MBE,2635
scintilla/feature_selection/hvg.py,sha256=2eeMvP21jrRv67J9P2YinyEeuoTvcpltESs7K15SH0E,3549
scintilla/feature_selection/mrmr.py,sha256=GaCUXGk_kzvuGbLJ_udoVBvt0sw0N2Tq_XPXC15R3jk,3410
scintilla/feature_selection/mutual_information.py,sha256=64_tvDVVcnQWIECj0dQiQwupfjfjvxFFqpDSpJqW-kc,1219
scintilla/feature_selection/pca_loadings.py,sha256=CFdQxD8lpEI6ey1QK6XTwRQ2hSUrl7a6SYWCNqH1rtI,4711
scintilla/feature_selection/select.py,sha256=MjNfeh6f-YKNpnc56LdMtQZ9HwAzNZpWJIUmf8Ci1vY,3916
scintilla/io/__init__.py,sha256=zh0tBxQdg3rwjU0U2wlZulJ7QZZo4DMUVHkrdSFRUBw,377
scintilla/io/exporters.py,sha256=q6sd9P-w3SbDc75cOinLF6IlQpfF9cxkXMWQtLav1qg,1811
scintilla/io/loaders.py,sha256=ASdWVvWyrEmku0BRwz10ocyHZkQwnZXRu0COemxhJjc,4964
scintilla/pl/__init__.py,sha256=dn7Mjyqy1W1N-1LBxDQ1xQgpKCD8VNL0tkRTNeLKWTc,2734
scintilla/pp/__init__.py,sha256=gHWg7ubsm8CsS4zt0ctdKryZGbqhhErVL7eU24OEWHU,1953
scintilla/preprocessing/__init__.py,sha256=pca4-bFdxbmCWuFnRX2OkMVMelhEBkHa12yeeY7x0QU,596
scintilla/preprocessing/aggregation.py,sha256=NB5UKLoO3xFwDT-49__W6x8qCjpcvKcQjru7ePZAM0A,1429
scintilla/preprocessing/benchmark.py,sha256=EgyVALx1mdCYBZJC4RJ5-gjU2OURrCGq-5QCH4h6CwU,18396
scintilla/preprocessing/normality.py,sha256=vaNGsyU2UBQcUyOhmEz_T125GSRVon7qNs99hk-s8Qs,7700
scintilla/preprocessing/pca.py,sha256=yyxGijIltpBuSbX7LwesYrsHTCwfUq8moBCO35UuiL4,6690
scintilla/preprocessing/transformations.py,sha256=76S2XfdYZb2dO7f_OauAdv1u9E-bIV4oqGrKn4eTa88,19965
scintilla/statistical_tests/__init__.py,sha256=XSXrKghdk6hs5EfZO0-gzpLlpVcxAW3211gM8--uKA4,1922
scintilla/statistical_tests/adaptive.py,sha256=oZa-jVAQrd2lcLpLZOMSoaGcdNNVd_kU9MfuO84Ba_w,12307
scintilla/statistical_tests/anova.py,sha256=UPIN5UdljLFrluoWFtBloeKFb7qjUB7N8-Fbi85HmjM,2661
scintilla/statistical_tests/bootstrap.py,sha256=9mV2DfAuqWQ2kubWnstwISBU9zWrvWvUzElPk6bIWBI,14884
scintilla/statistical_tests/boxm.py,sha256=NDNCdIZH5C4Tp0zORVcgqAp4xa7H4EMHGIrTClndUNU,5888
scintilla/statistical_tests/correction.py,sha256=qhmCV8Au0UK4eMV6DYn95rtegirCyjpDw0EgmbdheN4,1393
scintilla/statistical_tests/dunns.py,sha256=mWVRNFj73P9irUvHvuv7wkuEmWH0TZShseLnDS-2xF4,1598
scintilla/statistical_tests/effect_sizes.py,sha256=flaANLr1268Xh03tc8kPvuldCa-3KTclUhmjtxhuHEs,3544
scintilla/statistical_tests/kruskal.py,sha256=Lxv-iqKyJHk4804oQQL4YuUyqhuUiJfodvkPsM8O7no,2412
scintilla/statistical_tests/permutation.py,sha256=4niLQ3d5JsoOgRdnq3AG4slu5HFiJjUByB2W58pw0sg,3429
scintilla/statistical_tests/rank_aggregation.py,sha256=HmMaRHFAnrHtP4skHYBkeqv4vXjR2lhsDiSZMgSPw4Q,2466
scintilla/stats/__init__.py,sha256=tG30RfHckOiboiDQ2Y2UxP0aCZosne7XVcho1KBKNCs,1945
scintilla/tl/__init__.py,sha256=QjmgcpDdbzOrXuMk-ZwcDGBRkoFmHsJkTy6dqbdKzjE,3530
scintilla/visualisation/__init__.py,sha256=IkmiH9XL2iNUlB_j7XMVlz6qTxbKdjgynj_lKoh_Dg8,643
scintilla/visualisation/_utils.py,sha256=ozXCyAXSTQo7Kv8ETF-BIY25c2TFSFrNjXl0jPag5u4,3347
scintilla/visualisation/batch_plots.py,sha256=CG4Vdo9ulc8cnNsUhyhs-ji_Tf7bP0c0_oRS4iKlJn0,2441
scintilla/visualisation/benchmark_summary.py,sha256=3yrpjgTYBveuBKST69Z1afyssLgxDcZmhfQ6ZGC6Lo8,2561
scintilla/visualisation/classification_plots.py,sha256=OnsNyB5hMbeZaTnx7IFb2n_2HUBkepjhrGe4xRI8wBk,3894
scintilla/visualisation/clustering_plots.py,sha256=xl6bt6i6vgT1FSJXM9mFPyh8d_q33gRD16G8yuoFrZA,3786
scintilla/visualisation/de_plots.py,sha256=Jj521ogN-3ovfn96GRRs_I40QqSS_Y-dylFNFTQ69Nc,2642
scintilla/visualisation/embedding_plots.py,sha256=j_V0WGC5Bqj-7RwMfrZlAEHaOlL72-xBoXXW5iV2cW4,2544
scintilla/visualisation/gene_plots.py,sha256=YYXLJzJYBX6tfEo6sWeXSSJyayDJsaBfKyXBv-Bx6kg,2695
scintilla/visualisation/pca_plots.py,sha256=4QBijfrXVkQJIETu4ExYquwBAi19E0LoEvdJ0L9kuqA,3449
scintilla/visualisation/sankey_plots.py,sha256=-q2_oO2Iqwd4N_cUFKUMg9YlfoVHe9RCLEpzQTOCr7I,1796
scintilla/visualisation/transformation_plots.py,sha256=WTH95GHk7O9dWONt8cipe43SeFvwDfLlEr6EEETFu70,1619
scintilla_py-0.2.1.dist-info/METADATA,sha256=bEVT1A0RmpW6u0TXZsxaw5sH0hbpgzmzDtTNDM16Oao,12438
scintilla_py-0.2.1.dist-info/WHEEL,sha256=W3fkpkm7-wf9vBI5Z-7s0eWkeM-spu78I8Neb98DeEg,87
scintilla_py-0.2.1.dist-info/entry_points.txt,sha256=_z4j9u_OQ5_kJTk0kbNPaHCHibJjhN6nMF1n_If9gGQ,54
scintilla_py-0.2.1.dist-info/licenses/LICENSE,sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ,11357
scintilla_py-0.2.1.dist-info/RECORD,,
