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1 ) and in vitro pharmacodynamics (LANL CATNAP database).
2 rotein sequences are currently stored in the database.
3 ion Network/United Network for Organ Sharing database.
4 or to ECMO and similar to LVAD in a national database.
5 nal data was extracted from the care manager database.
6 h Screening Program for Infants and Children database.
7  identified in the National Inpatient Sample database.
8 olutionary Classification of Protein Domains database.
9  institutional review board-approved myeloma database.
10 Secondary Uses Service Admitted Patient Care database.
11  and activity data available from the ChEMBL database.
12  British Cardiovascular Intervention Society database.
13 ariables which were entered into an Epi-Info database.
14  the Atlas of Variant Age as a public online database.
15 deposited in the Sequence Read Archive (SRA) database.
16 th patient-level data from the Adult Patient Database.
17  British Cardiovascular Intervention Society database.
18 strumentation, data processing software, and database.
19 e interface and a web front-end to query the database.
20 The Cancer Genome Atlas Colon Adenocarcinoma database.
21 olut R self-expanding TAVR were found in the database.
22 f treatments, and VA were extracted from the database.
23 thout NAT were identified in National Cancer Database.
24 on using experimentally supported miRTarBase database.
25 d mutation positions annotated in the COSMIC database.
26 n Respiratoire du patient d'Onco-Hematologie database.
27 finite element analysis to create a training database.
28 were deposited into the NIH Variation Viewer database.
29 with a finding of NSE were identified from a database.
30 rient database (ENDB), used as the reference database.
31 (IOP and VA) were entered in a secure online database.
32 in vivo methylated TFBSs from the MeDReaders database.
33 e to Pharmacology and the Therapeutic Target Database.
34 nterpret genome-phenome relations across the database.
35 eplication analyses in a large biorepository database.
36 2826) from the Gene Expression Omnibus (GEO) database.
37  of food that is currently not integrated in databases.
38 egories such as gene ontology (GO) and other databases.
39 cs, outpatient prescription, kidney, and HIV databases.
40 e (AltORFs) were discovered using customized databases.
41 tatistics and Office for National Statistics databases.
42 , using PubMed, Cochrane, and Web of Science databases.
43  and findings could also be applied to other databases.
44 ome sequences based on the CARD or ResFinder databases.
45 , taxonomic profiling and reference sequence databases.
46 rom the 2013 to 2014 Nationwide Readmissions Databases.
47 tabolites have not been captured by existing databases.
48 ase-related genomic data available in public databases.
49 , are easily downloadable via the respective databases.
50 d ascertainment of trial clinical and safety databases.
51 e drug reactions (ADRs) to pharmacovigilance databases.
52 o Wikidata and to synchronize it with source databases.
53  of major PTMs is well documented in several databases.
54 n with 4CMenB, ascertained from the national database (2-4 doses are recommended, depending on age).
55        The Health Improvement Network (THIN) database (2001-2016), was used to examine the annual pre
56                                      The NIS database (2002-2014) was used to identify patients with
57 ns were identified using the State Inpatient Databases (2011-2012) for 6 states, representing Northea
58 icalTrials.gov (NCT02936037) and the EudraCT database (2016-000700-29).
59 buted Structure-Searchable Toxicity (DSSTox) Database (~800,000 chemicals).
60  developing and maintaining accurate variant databases, a large number of disease-associated variants
61       Using the PubMed, Cochrane and Ovid SP databases, a literature review and meta-analysis were co
62 d increasing size of both genome and protein databases, a need for faster Smith-Waterman implementati
63 of patient acuity, quality metrics, research database accuracy, and healthcare reimbursement in order
64             In this large, commercial claims database analysis, no association was found between PPS
65 ID-19 'vaccine landscape', a clinical trials database and a 'living review' that distils the results
66                   We used the Immune Epitope Database and Analysis Resource (IEDB) to catalog availab
67  to the National Register of Causes of Death database and managed by the Italian National Institute o
68 cellular fractionation, an improved sequence database and MS we determined the composition, evolution
69 ers from a statewide groundwater geochemical database and publicly available maps of soil and aquifer
70    These are our first results of mining the database and support recent findings that suggest that t
71  annotations and related resources, a lookup database and web tool linked to PEATmoss was implemented
72 rehensive search of several English-language databases and a manual review of relevant publications.
73        Users can easily create new reference databases and can select one of three DNA alignment tool
74 s the development of instantaneous updatable databases and effective surveillance systems.
75 he development of new, integrated structural databases and fusion of prediction tools toward protein
76 variables were collected from existing local databases and patient records.
77 research to date, will enlarge and diversify databases and pave the way for clinical and direct-to-co
78   We searched relevant studies in electronic databases and present the narrative findings in 4 domain
79 ch to building biological networks, updating databases and providing annotation for new pathways.
80 rane Library, Web of Science, Iranian online databases and the Google Scholar search engine in June 2
81 he FDA adverse event reporting system (AERS) database, and by calculating the reporting odds ratios (
82  American Hospital Association annual survey database, and Medicare's Hospital Compare website.
83 oof-of-concept demonstration in the GEDmatch database, and we suggest countermeasures that will preve
84 ave been aggregated in MISCAST from multiple databases, and displayed on structures alongside the var
85 ting machine learning models and segregation database are key to unlocking the full potential of GB s
86 nging when large whole-genome and metagenome databases are involved.
87 platform combines Ares Genetics' proprietary database ARESdb with state-of-the-art bioinformatics too
88 ata from a large secondary mental healthcare database as reference standard, linked to English nation
89 ng data using the most comprehensive feature database assembled, we determine which features of guide
90 with TBE were identified in the notification database at the Department of Communicable Disease Contr
91            A systematic search of electronic databases (Athens, Pub Med, Web of Science, Science Dire
92                     Using the most extensive database available on shade, drought, waterlogging and c
93                                       In the database B the RF classifier obtained a F1 score of 0.71
94 nging Online Data for Epidemiologic Research database between 2003 and 2017 to identify location of d
95                       We searched the PubMed database between October 4, 2016, and June 23, 2019, con
96  from the MarketScan Commercial and Medicare databases between 1991-2016.
97  largest all-payer emergency department (ED) database, between 2013 and 2016, we identified patients
98 y assigns novel functions to orphan genes in databases but also provides insight into selection of th
99 ies using the Cancer in Five Continents plus database, by calculating the annual average percent chan
100 rst database is a conventional on-the-person database called MIT-BIH, and the second is one less unco
101  of the International Nucleotides Sequencing Database Collaboration (INSDC) (Cochrane G, et al, Nucle
102 rs or older in the National Health Insurance Database, collected by the National Health Insurance Ser
103 f 22, 82%, P<0.001 versus Genome Aggregation Database common variants) and were associated with simil
104              Gephebase is a manually-curated database compiling our accumulated knowledge of the gene
105                                              Databases compiling specificity matrices derived from ex
106 ents, including: the first internal mRNA m7G database containing 44 058 experimentally validated inte
107                                 Overall, the database contains 13 494 603 enhancers, which were obtai
108                              Currently, this database contains time series from 7,538 temperature sen
109            The richer data available from GP databases could be used to complement screening referral
110     This study is registered on the PROSPERO database, CRD42018007271.
111 by collecting data from a recently published database dbAMEPNI, we proposed a new model, iPNHOT, to p
112                                              Database differences in data availability, populations,
113  to the Intelligence in Medical Technologies database directly from the carotid ultrasound device.
114 s are not included and can be found in other databases (e.g. OMIM, OMIA, Monarch Initiative).
115                                 The Cochrane Database, Embase, Ovid MEDLINE, and PubMed were searched
116 ants that we found in homozygosity in public databases encoded functional proteins, as did all other
117 pared between the MGDB and the EPIC nutrient database (ENDB), used as the reference database.
118 e Stanford Translational Research Integrated Database Environment (N = 150,280; 2007-2017)--we determ
119 tic image segmentation methods and few atlas databases exist for analysing structural T1-weighted mag
120                                  Another new database feature is the prediction of cell-specific miRN
121                     A recently published CCS database for 300 steroids allowed one to observe experim
122  with reliable data from the Human Mortality Database for 49 countries and regions with emphasis on t
123  a mitochondrial 12S ribosomal DNA reference database for 67 fish species, representing 54 genera, 25
124 he Taiwan National Health Insurance Research Database for all 112,929 newly diagnosed patients with P
125 of a more refined, ethnic-specific normative database for GCIPL thickness, which in turn may improve
126  describe the BioImage Archive, a deposition database for raw images derived from primary research th
127 rve as a textbook standard and a fundamental database for scientific research, practical manufacturin
128  from several institutions and from a public database for the presence of CC446 isolates.
129 approaches to a comprehensive vascular plant database for the United States and generate predictive m
130 cript represents the query of a nationalized database for VCA type, immunosuppression treatment, and
131 m the COVID-19 and Cancer Consortium (CCC19) database for whom baseline data were added between March
132  between 2003 and 2016 as reported in claims databases for all adults enrolled in fee-for-service Med
133 ing function, given the dearth of functional databases for environmental bacteria compared to model o
134                       Building up functional databases for pathogenicity is key to implementing these
135 O, EMBASE, LILACS, IBECS, and Web of Science databases for peer-reviewed journal articles published b
136          We searched 5 scientific literature databases for primary sources on the safety of 9 antimic
137 er of Controlled Trials, MEDLINE, and Embase databases for randomized trials of eHealth interventions
138                        Therefore, population databases for these markers have been developed for almo
139 ied in the Faculty Practice Solutions Center Database from 2014 to 2017.
140 rhosis in the Veterans Health Administration database from January 2008 to June 2016.
141 from the Pediatric Health Information System database from January 2013 to June 2015.
142    We reviewed the fetal magnetocardiography database from the University of Wisconsin Biomagnetism L
143 and Utilization Project Data State Inpatient Databases from 19 states and Washington DC, we analyzed
144  qualitative methods by searching electronic databases from January 1, 2014-September 30, 2019 (Scopu
145 lish literature search (PubMed, Ovid, Embase databases) from inception to present according to the PR
146 uropean subjects from the Genome Aggregation Database (gnomAD) as control subjects.
147 tudy included adults discharged from Premier Database hospitals in 2016-2017.
148 ccuracy of 99.15% on Human protein reference database (HPRD) dataset and also obtains best results on
149          Analysis of the TARGET and BEAT AML databases identifies a correlation between CD82 expressi
150 he Taiwan National Health Insurance Research Database in 2000-2013, employing diagnoses, drugs, and p
151 identified 1518 ASRS members in the Medicare database in 2016.
152    Payments for PrEP medication in the IQVIA database in 2018 totaled $2.08 billion; $1.68 billion (8
153 to an AVM who were included in a prospective database in the period comprising January 2007 through D
154                  Clinical and administrative databases in Ontario, Canada were linked to obtain recor
155 We evaluate our approach in two well-settled databases in the literature on the raw heartbeat signal.
156 dies on vitamin D prevalence, published from database inception to Aug 6, 2019, without language rest
157 ast cancer TMAs and comparison with the TCGA database indicated a higher double-positive signal in ba
158 inconsistently captured in pharmacovigilance databases, indicating a strong need for a more robust sy
159                                    The first database is a conventional on-the-person database called
160                                          The database is regularly self-updating, once new structures
161                        The challenge for the database is to continue to provide a highly curated data
162 Padhoc combines natural language processing, database knowledge extraction, orthology search and powe
163 is one less uncontrolled off-the-person type database known as CYBHi.
164 th powerful computational methods and larger databases led to the identification of an expansive grou
165         Using a national UK general practice database linked to hospitalizations (1998-2017), 108 638
166 he 4-year update of the ongoing study with a database lock date of Jan 30, 2020.
167 ession-free survival at the overall survival database lock, median progression-free survival remained
168 r disease (CVD) in a large neuropathological database maintained by the National Alzheimer's Coordina
169 arameter settings based on the principles of database management systems.
170  central National Health Service England web database mandated for clinicians to register intention t
171 owever, is that research data do not provide database matches because of informatic artifacts, chemic
172 S National Library of Medicine bibliographic database (MEDLINE) and Embase, 29 studies were assessed.
173 ent Program Appendectomy Collaborative Pilot database merged with antibiotic utilization data from th
174 -filling reactions from a universal reaction database (MetaCyc) based on taxonomic information.
175 n factors (TFs) from the JASPAR and UniPROBE databases, methylated TFBSs derived from in vitro high-t
176 es in the field has allowed us to expand the database more than 5-fold.
177          A further ten papers are updates on databases most recently published elsewhere.
178                Data from the National Cancer Database (NCDB) from 2004 to 2015, was used to identify
179                                          The database now contains 139 genes-of which 44 are related
180 e comparative metabolomics analysis across a database of 10,498 extracts generated from 463 strains.
181 ith DW positive stroke lesions) and a normal database of 2027 patients (mean age, 38 years +/- 24; 10
182                                   We built a database of 538,213 manually curated phage protein seque
183 tional review board-approved study, a stroke database of 962 cases (mean patient age +/- standard dev
184 Inpatient Sample-a nationally representative database of all discharges from US acute care hospitals.
185  organic molecules, along with an associated database of chemical reaction energies (Rad-6-RE).
186                   With this work, we built a database of chemical reaction relationships from almost
187 leteness by comparing sequences with a large database of complete viral genomes, including 76,262 ide
188 pace nearest neighbor search over a template database of fixed-length amino acid words to determine e
189 le by identifying its closest relatives in a database of genomes with metadata.
190 enging due to the absence of a comprehensive database of healthcare facilities.
191 cale data contained within the Great Britain Database of Insects and their Food Plants.
192 RD) dataset and also obtains best results on Database of Interacting Protein (DIP) Human, Drosophila,
193                     Here, we analyse an open database of measurements of electric power grid frequenc
194                                   The DynDom database of protein domain movements comprises sequences
195                          Using an up-to-date database of published locational records for An. stephen
196                 By compiling and analyzing a database of scientific peer-reviewed publications over a
197 ross the alloy space, and build an extensive database of segregation energy spectra for more than 250
198 e is to continue to provide a highly curated database of sequence variants, while supporting the incr
199 sing PubMed, Epistemonikos, and the Cochrane Database of SRs.
200 as the potential to become the most complete database of SSPs in plants.
201 survive future droughts by using a tree-ring database of surviving and now-dead trees from 118 sites
202 ithin 72 h of onset from the prospective TIA database of the First Affiliated Hospital of Zhengzhou U
203 conducted a retrospective analysis using the database of the German Hodgkin Study Group (GHSG).
204  long-term demographic records and extensive databases of functional traits and distribution patterns
205 clinical profiles was obtained from regional databases of health care use.
206 a geographically and taxonomically extensive database on plant heat and cold tolerances and used this
207 adients by bringing together a comprehensive database on the composition of angiosperm tree communiti
208  We used a national private insurance claims database, Optum's de-identifed Clinformatics Data Mart D
209 nteractomics data distributed across several databases or uncover links between diseases and genes by
210                           We searched online databases Ovid Medline and PsychINFO, PubMed, EMBASE, Sc
211 tic search was performed, 1945-March 2019 in databases Ovid Medline, Embase, Global health, Scopus, a
212 er these questions, we searched 5 electronic databases (OVID Medline, OVID Embase, CINAHL, Cochrane L
213                                         TCGA database, paired PDA and adjacent normal pancreatic tiss
214 s were conducted using a large biorepository database (Partners Healthcare Biobank, N = 116,389) with
215 ing areas: center eligibility, validation of databases, patient cohort selection, procedure selection
216           These lists are organized into our database (pCRM1exportome), and other protein sequences i
217                                      Through database prediction, luciferase experiment, RNA immunopr
218                         Analysis of the ELTR database (PSC patients registered before 2018), includin
219     A systematic literature search using the databases psycINFO, CINAHL, MEDline, Web of Science, as
220 tematic search was performed in 5 electronic databases (PubMed, Embase, LILACS, Scopus, and Web of Sc
221 eactive' ML, we establish a first-principles database (Rad-6) containing closed and open-shell organi
222 ct of mutations on m7G status, and the first database recording 1218 disease-associated genetic mutat
223 rge data from the hospital population health database, residential addresses were geocoded and linked
224  obtained from the Medicaid Analytic Extract database, restricted to states participating in SMARTT.
225 otechnology Information's Pathogen Detection database revealed extensive Campylobacter species cluste
226 level clustering and Nationwide Readmissions Database sampling weights were applied to all models.
227 sive search was done on international online databases Scopus, Science Direct, EMBASE, PubMed/Medline
228 h their corresponding amino acid sequence by database search and subsequent MALDI-TOF/TOF analysis.
229  ranging from ultra-fast low-RAM k-mer-based database search to fully exhaustive gapped DNA alignment
230 g peptides to be identified by a nontargeted database search.
231 duces a new graphical interface, much faster database searches and several new options for visualizat
232                                    Extensive database searches resulted in only 13 similar metal bind
233 ollo), data mining (BovineMine) and sequence database searching (BLAST).
234 llance, Epidemiology, and End Results (SEER) database SEER 18.
235                                     Although database servers such as PostgreSQL can store such infor
236  addition, as an important supplement of the database, several flexible tools have been developed to
237 putational results for a realistic scalp EEG database show a detection rate of 93.6% and a false posi
238               Our analysis of cancer genomic databases showed that patients with wild-type RBM10 and
239 data, curated from published studies or from database submissions, are mapped to the viral genome and
240                   Unfortunately, most public databases, such as non-redundant (NR), rely on user inpu
241                                        These databases support the community-wide utilization of path
242 es d'Information," the French administrative database that collects information on all healthcare fac
243  items were calculated based on a food taste database that had been previously constructed and evalua
244 increasingly complex and complete transcript databases that have been used to validate the expression
245  We used a United Kingdom primary healthcare database, the Clinical Practice Research Datalink (CPRD)
246  in the prospectively designed observational database, the Fight Retinal Blindness!
247      In this large, population-based, family database, the risk of PC varied by cancer FH and was mos
248              A systematic search of multiple databases through August 2017 was conducted, selecting c
249 housands of genes missing from other pathway databases, thus presenting new opportunities for discove
250                                 We used this database to elucidate the breakdown of embodied carbon e
251  an individual-level, population-wide health database to examine associations between antenatal IPT e
252 ctronic notifications received from the BCSP database to GP records.
253 m 2003 to 2018 were extracted from TMDA-IMIS database to Microsoft excel for review and analysis.
254 ut there is no comprehensive defense systems database to organize prokaryotic defense gene datasets.
255 ization Project data from 43 State Inpatient Databases to calculate "adjusted" donation rates.
256 he need to deposit network maps in community databases to ensure they can be readily accessed.
257 nal (3D) U-Net was trained on four different databases to generate four different models: (a) 375 neu
258                               We used public databases to identify correlations in gene expression pa
259 ystems, as well as searching single cell GES databases to identify novel network connections or cell
260 Optum's de-identifed Clinformatics Data Mart Database, to identify adults undergoing general, gynecol
261  searched the Medline, OVID FSTA, and SCOPUS databases until January 2020.
262 reported from across the globe to the GISAID database up to 30 March 2020.
263 cess data policy and is the main plant trait database used by the research community worldwide.
264  were ascertained from health administrative databases using validated algorithms.
265                                The augmented database was evaluated using (i) a panel of nine control
266 a ophthalmic hospital recorded in the MS-SQL database was mapped and programmatically transferred to
267 Scientific Registry of Transplant Recipients database was reviewed to identify adult liver transplant
268                                   The PubMed database was searched for articles that (1) discuss meth
269                          The Utah Population Database was used to identify 619,630 men, age >= 40 yea
270              The Hospital Episode Statistics database was used to identify adults in England receivin
271           The Rochester Epidemiology Project database was used to identify patients.
272                  A literature search of four databases was conducted to identify additional cases.
273              In this study, using the online databases we observed that HNF1alpha is upregulated in P
274            Using the Nationwide Readmissions Database, we identified patients with aortic valve disea
275 hese fields in the human cortex in large MRI databases, we adapt an interaction approximation that co
276 d healthy tissues in The Cancer Genome Atlas database were analyzed to select shared FSPs.
277 cords for anti-retroviral agents from ChEMBL database were extracted for creating the training sets.
278 ), and candidate structures from the PubChem database were screened based on their ion mobility and t
279 ility of the search tools and limitations of databases were discussed.
280                             Emory Eye Center databases were queried for the following International C
281                        The PubMed and EMBASE databases were searched for articles published from 2000
282                                          Six databases were searched for relevant articles on July 1,
283 Methods Medline, Embase, CINAHL, and Central databases were searched for studies reporting intratheca
284                            Online scientific databases were searched in April 2018 for English-langua
285                            PubMed and Scopus databases were searched to identify relevant studies thr
286    The Cochrane Library, MEDLINE, and EMBASE databases were searched up to February 2020.
287                 Lilacs, PubMed, and Cochrane databases were searched.
288                                      Medical databases were systematically searched for prospective s
289  non-coding mutations, we present dbInDel, a database where we have comprehensively analyzed enhancer
290 n 2,800 research participants in the 23andMe database who carry one or more of the three Ashkenazi Je
291 ed the generation of a large predicted lipid database with 145,388 entries.
292       Here, we report an update of the VDJdb database with a substantial increase in the number of T-
293 le-genome sequencing variants against a huge database with billions of genomic features.
294        Women included in the National Cancer Database with invasive breast carcinoma from 2012-2016 t
295             Using a US administrative claims database with linked laboratory data, 34 569 new users o
296 s were conducted in March 2020 in the PubMed database with no date restrictions and limited to studie
297 ished in English and in the Cochrane Library database with no restrictions.
298 ecutive Cooperative Osteosarcoma Study Group database with primary central high-grade osteosarcoma of
299 ional Consortium and The Cancer Genome Atlas databases with CRISPR/Cas9-mediated depletion of the zin
300 able in both commercial and institutional IR databases without mathematical modeling.

 
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