loading... loading...| Number of classes: | 678 |
|---|---|
| Number of individuals: | 13 |
| Number of properties: | 53 |
| Maximum depth: | 14 |
| Maximum number of children: | 65 |
| Average number of children: | 3 |
| Classes with a single child: | 98 |
| Classes with more than 25 children: | 3 |
| Classes with no definition: | 24 |
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Details
| Acronym | STATO |
|---|---|
| Visibility | Public |
| BioPortal PURL | http://purl.bioontology.org/ontology/STATO |
| Description | STATO is a general-purpose STATistics Ontology. Its aim is to provide coverage for processes such as statistical tests, their conditions of applications, and information needed or resulting from statistical methods, such as probability distributions, variable, spread and variation metrics. STATO also covers aspects of experimental design and description of plots and graphical representations commonly used to provide visual cues of data distribution or layout and to assist review of the results. |
| Status | Production |
| Format | OWL |
| Contact |
Alejandra Gonzalez-Beltran, alejandra.gonzalez.beltran@gmail.com STATO mailing list, stat-ontology@googlegroups.com Philippe Rocca-Serra, proccaserra@gmail.com |
| Home Page | http://stato-ontology.org/ |
| Publications Page | http://stato-ontology.org/ |
| Documentation Page | http://stato-ontology.org/ |
| Categories | Biomedical Resources, Experimental Conditions |
| Groups |
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Submissions
| Submission | Release Date | Upload Date | Downloads |
|---|---|---|---|
| 1.3 (Parsed, Indexed, Metrics, Annotator) | 03/18/2016 | 03/18/2016 | OWL | CSV | RDF/XML | Diff |
| 1.2 (Archived) | 08/20/2015 | 06/13/2014 | OWL | Diff |
| 1.1 (Archived) | 05/07/2014 | 05/20/2014 | OWL | Diff |
| 1.0 (Archived) | 05/01/2014 | 05/20/2014 | OWL | Diff |
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Projects Using This Ontology Create new project
| Project | Description | People | Institution |
|---|---|---|---|
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ISA software suite
|
An open source ISA software suite and an extensible...
An open source ISA software suite and an extensible hierarchical data structure implemented by a growing number of international public resources. It caters to data as diverse as stem cell, toxicogenomics, environmental gene surveys, microbial diversity studies, and a variety of metabolomics and metagenomics-based studies. But it maintains cross-domain compatibility in the way the experimental context is described.
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International collaborative effort
International collaborative effort
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Multiple institutions; leads at University of Oxford, UK |
|
Neuroimaging Data Model
|
The Neuroimaging Data Model (NIDM) is a collection of...
The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication.
|
Nolan Nichols
Nolan Nichols
|
INCF |
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