Searching across hundreds of databases
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/anuprulez/galaxy_tool_recommendation
Proper Citation: Tool recommender system in Galaxy (RRID:SCR_018491)
Description: Software developed by analyzing workflows composed by researchers on European Galaxy server, using deep learning approach. Used to recommend tools in Galaxy. Gated recurrent units neural network.
Synonyms: Galaxy tool recommendation, Tool recommender system in Galaxy using deep learning
Resource Type: software toolkit, software resource
Keywords: Recommender system, Galaxy, Workflows, Deep learning, Neural networks, Gated recurrent units, bio.tools
Expand AllWe found {{ ctrl2.mentions.total_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 Tool recommender system in Galaxy.
No alerts have been found for Tool recommender system in Galaxy.
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.
