18 research outputs found
phenoscape-owl-tools: Release 1.3
<p>OWL-based reasoning and data processing utilities for assembling the Phenoscape Knowledgebase.</p
sj-pdf-1-wjn-10.1177_01939459221123162 – Supplemental material for Using EHR Data to Identify Patient Frailty and Risk for ICU Transfer
Supplemental material, sj-pdf-1-wjn-10.1177_01939459221123162 for Using EHR Data to Identify Patient Frailty and Risk for ICU Transfer by Deborah Lekan, Thomas P. McCoy, Marjorie Jenkins, Somya Mohanty and Prashanti Manda in Western Journal of Nursing Research</p
Examples of cross-ontology rules mined from the chicken dataset.
<p>Examples of cross-ontology rules mined from the chicken dataset.</p
Number of terms at each level of the GO (data version 1.1.2633).
<p>Number of terms at each level of the GO (data version 1.1.2633).</p
Distribution of terms in the GO (data version 1.1.2633) from different levels across CC, MF and BP.
<p>Distribution of terms in the GO (data version 1.1.2633) from different levels across CC, MF and BP.</p
Number of rules mined by COLL at each level of generalization mined from the chicken and mouse datasets.
<p>Number of rules mined by COLL at each level of generalization mined from the chicken and mouse datasets.</p
A comparison of the distribution of GO annotations in the synthetic datasets generated using the three approaches and the distribution in the target dataset in the three sub-ontologies: (a): Cellular Component, (b) Biological Process, (c) Molecular Function.
<p>A comparison of the distribution of GO annotations in the synthetic datasets generated using the three approaches and the distribution in the target dataset in the three sub-ontologies: (a): Cellular Component, (b) Biological Process, (c) Molecular Function.</p
Average false discovery rate of random cross-ontology rules from 50 synthetic datasets at each level of generalization.
<p>Average false discovery rate of random cross-ontology rules from 50 synthetic datasets at each level of generalization.</p