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1 king the diagnosis for mapping to the DDSS's controlled vocabulary.
2 ed/observational studies using key terms and controlled vocabulary.
3 metadata and phenotypic observations using a controlled vocabulary.
4 pidemiological and statistical methods using controlled vocabulary.
5 equence records then map these metadata to a controlled vocabulary.
6 eference the Medical Subject Headings (MeSH) controlled vocabulary.
7 rocess following a set of best practices and controlled vocabulary.
8  annotating gene expression patterns using a controlled vocabulary.
9 ions, but they require clinically expressive controlled vocabularies.
10 ified into one term from a predefined set of controlled vocabularies.
11 Mapping tool, along with supporting data and controlled vocabularies.
12 the data itself, and pointers to third party controlled vocabularies.
13 abases by providing standardised methods and controlled vocabularies.
14  within the domain of several ontologies and controlled vocabularies.
15 t takes advantage of improved ontologies and controlled vocabularies.
16 d data annotation associated with terms from controlled vocabularies.
17  more accessible by the use of ontologies or controlled vocabularies.
18 ng the detailed annotation with hierarchical controlled vocabularies.
19 creasing number of biomedical ontologies and controlled vocabularies.
20 ific publications and makes extensive use of controlled vocabularies.
21 using standardized computational methods and controlled vocabularies.
22 e for populating data fields with terms from controlled vocabularies.
23 cribe a methodology for rapid development of controlled vocabularies, a study originally motivated by
24 n which protein functions are organized in a controlled vocabulary, according to the Gene Ontology (G
25 pment of a text mining tool for expansion of controlled vocabularies across various domains, as a pra
26                                          The controlled vocabulary, algorithms, and software applicat
27 rds for MAVE data and metadata and outline a controlled vocabulary aligned with established biomedica
28 ustom built, interconnected and hierarchical controlled vocabulary allowing advanced data sharing and
29 s of MTB are enabled through use of multiple controlled vocabularies and by adherence to standardized
30 e Ontology (GO) project provides structured, controlled vocabularies and classifications that cover s
31                Recently, several ontologies, controlled vocabularies and databases have been develope
32 re data from the scientific literature using controlled vocabularies and free text within the context
33 al annotation, based on standard ontologies, controlled vocabularies and free text.
34 e Gene Ontology project produces structured, controlled vocabularies and gene product annotations.
35  curated; interactions are constructed using controlled vocabularies and hierarchies; additional gene
36 the components of the models with terms from controlled vocabularies and links to other relevant data
37 r the biomedical domain, actively publishing controlled vocabularies and making data available in Res
38                   Also, it deploys extensive controlled vocabularies and ontologies to annotate prote
39 ces such as database records, and terms from controlled vocabularies and ontologies.
40 ence, genes, genetic markers, mutants, QTLs, controlled vocabularies and publications.
41 oming changes to database contents, formats, controlled vocabularies and services are described.
42  here is an effort to narrow the gap between controlled vocabularies and the entities used in text.
43 al implementation of database structures for controlled vocabularies and the integration of a phenoty
44 ty across data sets requires annotation with controlled vocabularies and, further, metadata standards
45 ancer patterns are annotated manually with a controlled vocabulary and all results are available thro
46  library entries using the extensible PSI-MS controlled vocabulary and can be encoded in and converte
47                                          The controlled vocabulary and equations were integrated into
48 until March 16, 2017, using a combination of controlled vocabulary and keyword terms.
49 The search strategy included all appropriate controlled vocabulary and keywords for vaccination, pedi
50                                              Controlled vocabulary and keywords helped to identify st
51 e bibliographic databases were searched with controlled vocabulary and keywords related to "sickle ce
52 al annotations of Arabidopsis genes that use controlled vocabulary and literature evidence.
53 nd classification-driven procedures based on controlled vocabulary and standard nomenclature and incl
54 ally annotating genes and gene products with controlled vocabularies, and improving data retrieval, a
55 here are a bewildering number of ontologies, controlled vocabularies, and minimum standards available
56             Ontologies of precisely defined, controlled vocabularies are essential to curate the resu
57                                              Controlled vocabularies are increasingly used by databas
58                        Public ontologies and controlled vocabularies are used for annotation.
59 sources (such as ontologies, taxonomies, and controlled vocabularies) commonly overlap in scope and c
60                                            A controlled vocabulary consisting of nine high-level phen
61  Medical Subject Headings (MeSH), which is a controlled vocabulary curated by the NLM experts.
62  over 600 metadata fields, which includes 76 controlled vocabulary (CV) tables containing 3873 terms.
63 41 metadata fields, of which 80 are based on controlled vocabulary (CV) terms.
64                  A hierarchically structured controlled vocabulary describing the genetic elements in
65                  The Gene Ontology (GO) is a controlled vocabulary designed to represent the biologic
66 r process, function and localization using a controlled vocabulary developed in collaboration with tw
67       The Gene Ontology (GO) is a structured controlled vocabulary developed to describe the roles an
68 Enterprise Vocabulary Services (EVS) provide controlled vocabulary, dictionary and thesaurus services
69                             Because existing controlled vocabularies do not represent problem stateme
70 om limiting their analyses within predefined controlled vocabularies, enabling them to interact with
71 ecies, and the development and use of shared controlled vocabularies extend GXD's utility for the ana
72 world human exposure curation via the use of controlled vocabularies facilitates analysis of content
73 onsistent terminology pertaining to shape, a controlled vocabulary focusing specifically on fruit sha
74 dels in standard formats and annotation with controlled vocabularies following MIRIAM (minimal inform
75 icroarray and gene expression repository and controlled vocabularies for anatomy and insecticide resi
76 induced effects on phenotypes, curated using controlled vocabularies for chemicals, phenotypes, taxa,
77  species, as classified by an updated set of controlled vocabularies for experimental detection metho
78                                              Controlled vocabularies for gene and plant ontologies, a
79                SoyBase is the repository for controlled vocabularies for soybean growth, development
80 nd gene attributes (GO terms), together with controlled vocabularies for type of genetic manipulation
81 Gene Ontology (GO) Consortium has produced a controlled vocabulary for annotation of gene function th
82 ings, and the National Library of Medicine's controlled vocabulary for biomedical concepts.
83 y has been developed to provide a structured controlled vocabulary for features on a protein sequence
84    Medical Subject Headings (MeSH((R))) is a controlled vocabulary for indexing and searching biomedi
85                       The Gene Ontology is a controlled vocabulary for representing knowledge related
86 also provide an interface with an extensible controlled vocabulary for research groups to submit new
87                    Annot enforces the use of controlled vocabulary for sample and reagent annotation
88 ped the Microbial Conditions Ontology with a controlled vocabulary for the minimal properties to repr
89        We present case studies involving two controlled vocabularies (for nuclear magnetic resonance
90 iment, reagent, and protocol annotation with controlled vocabulary from established ontologies - rema
91 ds in Organelle DB have been annotated using controlled vocabulary from the Gene Ontology consortium.
92 eroperability, we have annotated genes using controlled vocabularies (Gene Ontology terms, Enzyme Com
93 h records of 14,017 patients, we matched two controlled vocabularies (ICD-10 and a custom vocabulary
94 gene set function most commonly makes use of controlled vocabulary in the form of ontology annotation
95                    The use of ontologies (or controlled vocabularies) is ubiquitous across the schema
96 on are integrated by anatomical terms from a controlled vocabulary linking together intermediate tiss
97 nnotations are not based on a consistent and controlled vocabulary, making difficult the identificati
98 notating biomedical unstructured metadata to controlled vocabularies of diseases and tissues.
99 (i) an anatomical dictionary that provides a controlled vocabulary of anatomical terms, grouped by de
100                    It also includes a sample controlled vocabulary of drugs, herbs and adverse effect
101 tically classifies protein kinases using the controlled vocabulary of Hanks and Hunter.
102                     A search algorithm using controlled vocabulary of the respective databases (where
103 literature by professional biocurators using controlled vocabularies, ontologies and structured notat
104                   The data model is based on controlled vocabularies/ontologies and captures the whol
105 create, maintain and facilitate the use of a controlled vocabulary (ontology) for plants.
106 tion of multiple bodies of data using common controlled vocabularies or 'ontologies'.
107     Many bioinformatics applications rely on controlled vocabularies or ontologies to consistently in
108 al properties, precomputed BLAST alignments, controlled-vocabulary protein properties and Gene Ontolo
109 rowse and navigate biomedical ontologies and controlled vocabularies since it first went into product
110     The annotation of biomedical texts using controlled vocabularies such as MeSH can be automated to
111                           The need to create controlled vocabularies such as ontologies for knowledge
112                                              Controlled vocabularies such as the Medical Subject Head
113                                              Controlled vocabularies such as the Unified Medical Lang
114 Base, using our TermLink tool to search with Controlled Vocabulary terms and our new RNA-Seq Search t
115                 Here, we combined the use of controlled vocabulary terms and sequence-based algorithm
116             We focus on associating genes to controlled vocabulary terms based on experimental data f
117  the number of protein sequence entries with controlled vocabulary terms describing function (e.g. th
118                                      We used controlled vocabulary terms to identify articles measuri
119  gene function and expression patterns using controlled vocabulary terms, and maintains and updates t
120 ProtDB include gene name, symbol and various controlled vocabulary terms, including Gene Ontology ter
121 beling thousands of phenotype variables with controlled vocabulary terms.
122 abitat and temperature, and are based on the controlled vocabularies that NCBI's Microbial Genome Pro
123 g cells into cell types that are part of the controlled vocabulary that forms the Cell Ontology.
124                   We introduced an extensive controlled vocabulary that records specific details on t
125 erence data and molecular sequences within a controlled vocabulary, the Antibiotic Resistance Ontolog
126                 This commentary presents how controlled vocabularies, thesauruses, and ontologies con
127 des a curation tool, phenotype ontology, and controlled vocabularies to curate pathogen-host interact
128 ome displays, Gramene makes extensive use of controlled vocabularies to describe specific biological
129 the Swiss-Prot team, making intensive use of controlled vocabularies to ensure data consistency.
130 troduce readers to the Gene Ontology (GO), a controlled vocabulary to facilitate comparative genomics
131 etwork community agreed to extend the PSI-MI controlled vocabulary to include additional terms repres
132  dictionary is associated with a third party controlled vocabulary to make it easier for applications
133 annotations, and for annotation terms from a controlled vocabulary used by human curators to describe
134 e Gene Ontology vocabulary, a structured and controlled vocabulary used in classification of gene rol
135 n gene products according to well-structured controlled vocabularies where biological terms are organ
136        Existing annotation paradigms rely on controlled vocabularies, where each data instance is cla
137 h over 312 metadata fields from which 58 are controlled vocabularies with 2067 terms.
138 age processing tools by annotating text with controlled vocabularies with additional tailored trainin
139                                              Controlled vocabularies with broad community support typ
140 ition as a way of rapidly expanding a set of controlled vocabularies with the terms used in the scien
141 number and size of resources (e.g. available controlled vocabularies), with the amount of literature

 
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