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://git.integromics.fr/published/predomics
Proper Citation: Predomics (RRID:SCR_017415)
Description: Software package for metagenomics data. Discovers accurate predictive signatures and provides unprecedented interpretability. Package contains three methods for suppervised learning based on ternary coefficients. Used to discover classification models for quantitative metagenomics data.
Resource Type: software application, software resource, source code
Defining Citation: DOI:10.1101/409144
Keywords: Metagenomic, data, discover, predictive, signature, unprecedented, interpretability, supervised, learning, ternary, coefficient
Funding: Assistance Publique-Hôpitaux de Paris Contrat d’interface chercheurs 2015-2018; EU-FP7 HEALTH-F4-2012-305312; French National Agency
Availability: Free, Available for download, Freely available
Resource Name: Predomics
Resource ID: SCR_017415
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 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 Predomics.
No alerts have been found for Predomics.
Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
