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Deciphering anomalous heterogeneous intracellular transport with neural networks
Intracellular transport is predominantly heterogeneous in both time and space, exhibiting varying non-Brownian behavior. Characterization of this movement through averaging methods over an ensemble of trajectories or over the course of a single trajectory often fails to capture this heterogeneity. H...
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| 出版年: | eLife |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
eLife Sciences Publications, Ltd
2020
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7141808/ https://ncbi.nlm.nih.gov/pubmed/32207687 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7554/eLife.52224 |
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