Published February 27, 2023
| Version v1
Dataset
Open
Spectral decompositions dataset for the paper "Random walk informed heterogeneities detection reveals how the lymph node conduits network influences T-cells collective exploration behavior"
Description
This file contains the left and right approximated eigenvectors, as well as the approximated eigenvalues of the networks analyzed in the paper : Random walk informed heterogeneities detection reveals how
the lymph node conduits network influences T-cells collective
exploration behavior
Files
Files
(49.4 GB)
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md5:29df0dddf6aff51bbb094e6444c14169
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md5:4e5b825c69ded2636048308d7430d662
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3.0 GB | Download |
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md5:713f3474abb889479248b2e9da9d2f19
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3.0 GB | Download |
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md5:54a3d1b385fe396868c23d140286b3d5
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md5:98de12649bda6bff83ce6142fd157d48
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3.2 GB | Download |
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md5:db08e2c91938728d422e20cecc6af0bf
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3.2 GB | Download |
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md5:c0ba56c85ffd010a2dff349cdacd41c5
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19.1 kB | Download |
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md5:c39122c82eaef4c60b2acc941945ecb0
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3.1 GB | Download |
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md5:35f0f7cf9f657c5887db347a29daae38
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3.2 GB | Download |
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md5:154ec01244098f8ae4d4b85dda8223f1
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19.2 kB | Download |
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md5:3262cf07ad7aec79c835301026bbd8b9
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3.1 GB | Download |
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md5:085e3ca4f3653bceee27bf36175e646f
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3.2 GB | Download |
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md5:0bf568ff449dc1fdfa358325b901a29e
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18.8 kB | Download |
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md5:cc992c7f0332dedbb4895e49cfe2a303
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3.2 GB | Download |
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md5:6690372ad49a2a1c0feefb5e217957c2
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3.2 GB | Download |
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md5:fdf8a87ab898abab00dfac77cdd2faf9
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18.9 kB | Download |
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md5:86ab6853969be81875c287bd7489df77
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3.1 GB | Download |
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md5:0d718cfb32fd5ee680797e4a3ac1fab5
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3.2 GB | Download |
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md5:bf5aad249fe5626a637229dd6bdc61be
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18.8 kB | Download |
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md5:21812b15cfa01991c4d9d3daecbeaee3
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3.0 GB | Download |
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md5:21812b15cfa01991c4d9d3daecbeaee3
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3.0 GB | Download |
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md5:f0d7b2b31f1aa4f6f86e9bda971099c0
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18.8 kB | Download |
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md5:2e2bc2f42d3f43eb71b2b1b4edf61911
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3.0 GB | Download |
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md5:1fd76769d857e22184a7fb521c5ba86c
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3.0 GB | Download |
Additional details
Related works
- Is supplement to
- arXiv:2202.06729 (arXiv)
Funding
- Agence Nationale de la Recherche
- CENTURI – CenTuri : Centre Turing des Systèmes vivants ANR-16-CONV-0001