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Papers: 10.1371/journal.pcbi.1006077

https://doi.org/10.1371/journal.pcbi.1006077

New methods for computational decomposition of whole-mount in situ images enable effective curation of a large, highly redundant collection of Xenopus images

Cited by: 1
Author(s): Ilya Patrushev, Christina James-Zorn, Aldo Ciau-Uitz, Roger Patient, Michael J. Gilchrist
Published: almost 8 years ago

Software Mentions 4

pypi: isimage
A module and scripts for analysis of whole-mount in-situ hybridisation images.
Papers that mentioned: 1
Very Likely Science (95)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
Very Likely Science (100)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)