Results 11 to 20 of about 463,290 (301)
Exploring autophagy with Gene Ontology [PDF]
Autophagy, 2018 Autophagy is a fundamental cellular process that is well conserved among eukaryotes. It is one of the strategies that cells use to catabolize substances in a controlled way. Autophagy is used for recycling cellular components, responding to cellular stresses and ridding cells of foreign material.
Paul Denny +5 more
openaire +6 more sources
Gene Expression Analysis to Mine Highly Relevant Gene Data in Chronic Diseases and Annotating its GO Terms [PDF]
EAI Endorsed Transactions on Energy Web, 2020 Gene Expression Analysis seeks to find the highly expressive genes from a highly dimensional Microarray disease gene Database by using some statistical gene selection approaches based on supervised or unsupervised learning.
J. Bell, S. Vigila
doaj +1 more source
Measuring the evolution of ontology complexity: the gene ontology case study. [PDF]
PLoS ONE, 2013 Ontologies support automatic sharing, combination and analysis of life sciences data. They undergo regular curation and enrichment. We studied the impact of an ontology evolution on its structural complexity.
Olivier Dameron +2 more
doaj +1 more source
A Bayesian Hierarchical Model to Derive Novel Gene Networks from Gene Ontology Fingerprints [PDF]
, 2009 We developed a Bayesian hierarchical model to identify gene networks based on the similarity score generated from comparing the gene ontology fingerprints of gene pairs.
Andrew Lawson +3 more
core +2 more sources
Mining Gene Ontology Data with AGENDA
Bioinformatics and Biology Insights, 2012 The Gene Ontology (GO) initiative is a collaborative effort that uses controlled vocabularies for annotating genetic information. We here present AGENDA ( A pplication for mining Gen e Ontology Da ta), a novel web-based tool for accessing the GO database.
Martin C. Göpfert +2 more
doaj +2 more sources
Cross-Ontology multi-level association rule mining in the Gene Ontology. [PDF]
PLoS ONE, 2012 The Gene Ontology (GO) has become the internationally accepted standard for representing function, process, and location aspects of gene products. The wealth of GO annotation data provides a valuable source of implicit knowledge of relationships among ...
Prashanti Manda +4 more
doaj +1 more source
GOLEM: an interactive graph-based gene-ontology navigation and analysis tool
BMC Bioinformatics, 2006 Background The Gene Ontology has become an extremely useful tool for the analysis of genomic data and structuring of biological knowledge. Several excellent software tools for navigating the gene ontology have been developed.
Huttenhower Curtis +4 more
doaj +1 more source
Evaluating Computational Gene Ontology Annotations [PDF]
, 2016 ISBN:978-1-4939-3743 ...
Škunca, Nives +2 more
openaire +3 more sources
BMC Bioinformatics, 2010 Background The Gene Ontology (GO) is used to describe genes and gene products from many organisms. When used for functional annotation of microarray data, GO is often slimmed by editing so that only higher level terms remain. This practice is designed to
Rubin Eitan +2 more
doaj +1 more source
The devices, experimental scaffolds, and biomaterials ontology (DEB): a tool for mapping, annotation, and analysis of biomaterials' data [PDF]
, 2020 The size and complexity of the biomaterials literature makes systematic data analysis an excruciating manual task. A practical solution is creating databases and information resources.
Blei D. M. +15 more
core +3 more sources