about
The what, where, how and why of gene ontology--a primer for bioinformaticiansStructure-based classification and ontology in chemistrySiri of the cell: what biology could learn from the iPhoneHow to link ontologies and protein-protein interactions to literature: text-mining approaches and the BioCreative experienceHow the gene ontology evolvesMarco Ramoni: an appreciation of academic achievement.Inferring gene ontologies from pairwise similarity data.Representing ontogeny through ontology: a developmental biologist's guide to the gene ontologyAn improved method for scoring protein-protein interactions using semantic similarity within the gene ontology.Optimization of gene set annotations via entropy minimization over variable clusters (EMVC).Markov Chain Ontology Analysis (MCOA).Pathway analysis of genomic data: concepts, methods, and prospects for future development.Mining GO annotations for improving annotation consistencyPredicting the extension of biomedical ontologiesSpectral gene set enrichment (SGSE).Chapter 9: Analyses using disease ontologiesAn ontology-neutral framework for enrichment analysis.A DNA-based semantic fusion model for remote sensing data.Measuring the evolution of ontology complexity: the gene ontology case study.Protein-network modeling of prostate cancer gene signatures reveals essential pathways in disease recurrence.Ontology searching and browsing at the Rat Genome Database.Context-specific ontology integration: a bayesian approach.An Independent Filter for Gene Set Testing Based on Spectral Enrichment.Information-theoretic evaluation of predicted ontological annotations.Modeling the autism spectrum disorder phenotype.Evaluating Health Information Systems Using Ontologies.Design and Development of a Sharable Clinical Decision Support System Based on a Semantic Web Service Framework.Evaluating the Emotion Ontology through use in the self-reporting of emotional responses at an academic conference.Annotation extension through protein family annotation coherence metrics.Automating the construction of gene ontologies.SNP-based Bayesian networks can predict oral mucositis risk in autologous stem cell transplant recipients.Towards refactoring the Molecular Function Ontology with a UML profile for function modeling.Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation.
P2860
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P2860
description
2010 nî lūn-bûn
@nan
2010 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Ontology engineering
@nl
Ontology engineering.
@ast
Ontology engineering.
@en
type
label
Ontology engineering
@nl
Ontology engineering.
@ast
Ontology engineering.
@en
prefLabel
Ontology engineering
@nl
Ontology engineering.
@ast
Ontology engineering.
@en
P2093
P2860
P50
P921
P3181
P356
P1433
P1476
Ontology engineering.
@en
P2093
Chris Mungall
David P Hill
Gil Alterovitz
Jonathan Liu
Marco F Ramoni
Mary E Dolan
Michael Cherkassky
Michael Xiang
P2860
P2888
P304
P3181
P356
10.1038/NBT0210-128
P407
P577
2010-02-01T00:00:00Z
P5875
P6179
1001668274