Title
Towards a supervised classification of neocortical interneuron morphologies.
Abstract
Except for large basket, 50 high-quality reconstructions sufficed to learn an accurate model of a type. Improving these models may require quantifying complex arborization patterns and finding correlates of bouton-related features. Our study brings attention to practical aspects important for neuron classification and is readily reproducible, with all code and data available online.
Year
DOI
Venue
2018
10.1186/s12859-018-2470-1
BMC Bioinformatics
Keywords
Field
DocType
Feature selection,Martinotti,Morphometrics
Biology,Feature selection,Computational biology,Genetics,Interneuron
Journal
Volume
Issue
ISSN
19
1
1471-2105
Citations 
PageRank 
References 
0
0.34
10
Authors
6
Name
Order
Citations
PageRank
Bojan Mihaljevic182.91
Pedro Larrañaga23882208.54
Ruth Benavides-Piccione3193.86
Sean Hill4837.22
Javier De Felipe5768.74
Concha Bielza690972.11