18 results with keyword: 'fuzzy measures gene ontology gene product similarity'
The initial testing on a group of 194 sequences representing three proteins families shows a higher correlation of the FMS and Choquet similarities to the BLAST sequence
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This entails querying the Gene Ontology graph, retrieving Gene Ontology annotations, performing gene enrichment analyses, and computing basic semantic similarity between GO terms..
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BFO: Basic formal ontology; CHEBI: Chemical entities of biological interest; CL: Cell type ontology; GAF: Gene association file; GO: Gene ontology; GPAD: Gene product association
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Delivery time to consolidate southern polytechnic transcript request form, and a university system of the state university would choose to change any specific shipping orders will
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This type of approach has been demonstrated to be less sensitive or not at all to the issue of link density variability [ 14 ], i.e., that the ontology graph may be unbalanced
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Results: To do this multi-perspective, richer querying of gene product annotations, we have created the Logical Gene Ontology, or GOAL ontology, in OWL that combines the Gene
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Previous approaches to include biological knowledge in distance based clustering methods have used gene ontology and metabolic pathways to estimate distance or similarity measures
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In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or
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Therefore, we have used ‘ Gene Ontology semantic similarity score ’ to measure the GO similarity between gene products of lung tissue-specific candidate genes from control (normal)
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Predictive value of C-reactive the association of serum C-reactive protein protein and troponin T in patients with unstable concentration and coronary heart disease risk by angina:
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A, Upregulation Gene Gene ontology: Gene ontology: Gene ontology: IDLogFCsymbol Biological function Cellular component Molecular function 117256323.963NR4A2Negative regulation
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• The Gene Ontology (GO) ( http://www.geneontology.org/ ), created in 1998, is a vocabulary resource for the annotation of gene and gene- product data facilitating
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First, we evaluate the per- formance of SSDD by comparing the calculated semantic similarities with human ratings as described in [38] ; we then compare SSDD with other existing
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Note that the correlation be- tween protein similarities based on intra- ontological similarity measures and BLAST bit scores in Table 1 is given for each choice of gene ontology
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Quantitative or numerical metrics of protein function specificity made possible by the Gene Ontology are useful in that they enable development of distance or similarity measures
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To represent the functional relevance of the top gene pairs in the PP-TS matrix, we calculated the average gene ontology similarity (called Average GO score) and gene
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