A hybrid computational model to predict chemotactic guidance of growth cones.
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Multi-phasic bi-directional chemotactic responses of the growth cone.Deterministic control of mean alignment and elongation of neuron-like cells by grating geometry: a computational approach.A unified approach to model peripheral nerves across different animal species.Biomaterials and computation: a strategic alliance to investigate emergent responses of neural cells.
P2860
A hybrid computational model to predict chemotactic guidance of growth cones.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
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2015年论文
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name
A hybrid computational model to predict chemotactic guidance of growth cones.
@en
type
label
A hybrid computational model to predict chemotactic guidance of growth cones.
@en
prefLabel
A hybrid computational model to predict chemotactic guidance of growth cones.
@en
P2860
P356
P1433
P1476
A hybrid computational model to predict chemotactic guidance of growth cones
@en
P2093
Iolanda Morana Roccasalvo
Silvestro Micera
P2860
P2888
P356
10.1038/SREP11340
P407
P577
2015-06-18T00:00:00Z