Metrics for comparing neuronal tree shapes based on persistent homology.

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Metrics for comparing neuronal tree shapes based on persistent homology.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

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Metrics for comparing neuronal tree shapes based on persistent homology.

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Metrics for comparing neuronal tree shapes based on persistent homology.

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Metrics for comparing neuronal tree shapes based on persistent homology.

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P1476

Metrics for comparing neuronal tree shapes based on persistent homology

@en

P2093

Dingkang Wang

http://www.w3.org/2001/XMLSchema#string

Yanjie Li

http://www.w3.org/2001/XMLSchema#string

P2860

Towards the automatic classification of neurons

Dendritic organization in the neurons of the visual and motor cortices of the cat

Three-dimensional reconstruction of brain-wide wiring networks in Drosophila at single-cell resolution.

Extracting insights from the shape of complex data using topology.

Topological characterization of neuronal arbor morphology via sequence representation: II--global alignment.

Statistical analysis and data mining of digital reconstructions of dendritic morphologies.

The cell-centered database: a database for multiscale structural and protein localization data from light and electron microscopy.

Propagation of action potentials in dendrites depends on dendritic morphology.

L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies

Quantitative morphometry of electrophysiologically identified CA3b interneurons reveals robust local geometry and distinct cell classes.

P304

e0182184

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P31

scholarly article

P356

10.1371/JOURNAL.PONE.0182184

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P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Partha Mitra

Giorgio A. Ascoli

Yusu Wang

P577

2017-08-15T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

28809960

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P932

5557505

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