Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
URL: https://github.com/fyz11/MOSES
Proper Citation: Motion Sensing Superpixels (MOSES) (RRID:SCR_016839)
Description: Computational Python library for the motion analysis of biological single-cell and collective motion for high content screens. Framework to quantify and discover cellular motion phenotypes.
Abbreviations: MOSES
Synonyms: Motion Sensing Superpixels (MOSES), MOSES, Motion Sensing Superpixels
Resource Type: software application, data processing software, data analysis software, software resource
Defining Citation: DOI:10.1101/248104
Keywords: motion, analysis, biological, single, cell, collective, motion, high, content, screen, quantify, discover, phenotype
Expand AllWe found {{ ctrl2.mentions.all_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
Check
for all resource mentions.
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for Motion Sensing Superpixels (MOSES).
No alerts have been found for Motion Sensing Superpixels (MOSES).
Source: SciCrunch Registry
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
