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 Mihaljevic | 1 | 8 | 2.91 |
Pedro Larrañaga | 2 | 3882 | 208.54 |
Ruth Benavides-Piccione | 3 | 19 | 3.86 |
Sean Hill | 4 | 83 | 7.22 |
Javier De Felipe | 5 | 76 | 8.74 |
Concha Bielza | 6 | 909 | 72.11 |