コーパス検索結果 (1語後でソート)
通し番号をクリックするとPubMedの該当ページを表示します
1 ipal component analysis from physicochemical analysis data.
2 consideration when interpreting segregation analysis data.
3 the United States using Forest Inventory and Analysis data.
4 (1)H NMR spectroscopy and X-ray diffraction analysis data.
5 summary data and a fasting glucose GWAS meta-analysis data.
6 s with experimentally obtained compositional analysis data.
7 Bipolar Disorder Working Group (PGC-BD) meta-analysis data.
8 duction have been well documented with semen analysis data.
9 ase, which is consistent with metabolic flux analysis data.
10 irmed by transcriptional fusion and Northern analysis data.
11 ESI FT-ICR mass spectrometry, and elemental analysis data.
14 ation, data acquisition, data processing and analysis, data accessibility, and comparability to previ
16 infrared spectroscopy and visual light image analysis data and is expected to increase the accuracy o
19 neous collection of targeted and nontargeted analysis data and thus the detection of trace polar orga
20 of overlapped HPLC-DAD peaks, flow injection analysis data, and batch reaction data measured by UV/vi
22 Prevalence data, homology data, mutation analysis data, and protein modeling data suggest that th
23 genes have been evaluated based on the meta-analysis data, and the results show that high-confidence
25 omic data, the focus is on how bioinformatic analysis data are read and preprocessed, which refers to
27 pported by thermogravimetric and evolved gas analysis data, are consistent with an intimate associati
29 interpreting EXAFS spectroscopy and chemical analysis data augmented by computational studies, the pr
30 ne expression profiles, genome-wide location analysis data, binding sequence data, and gene ontology
44 time from randomisation to the third interim analysis data cutoff date was 24.11 months (IQR 20.24-27
46 nly patients who, at the time of the interim analysis data cutoff, had the opportunity to reach the t
49 ly, to integrate experimental details, image analysis, data display, and data archiving, we developed
50 an be accomplished with sequence and cluster analysis, data-driven approaches that can differentiate
51 w functions including weighted joint-pathway analysis, data-driven network analysis, batch effect cor
53 igital Prescribing data and Yellow Card Drug Analysis data for 2010 to 2017 were abstracted to quanti
55 rs and erasers, we provided further ChIP-Seq analysis data for the targeted HMs and schematized the r
63 uced amino acid sequence to peptide sequence analysis data from purified acetyl xylan esterase 1.
68 In a post-hoc single-cell RNA sequencing analysis, data from patients with RMC before and after n
69 G, AND PARTICIPANTS: In this cross-sectional analysis, data from the IQVIA Formulary Impact Analyzer
70 ibuted clusters were excluded from the final analysis; data from 1849 households that contained 12 80
71 %; 759-892 per country) were included in the analysis; data from Bhutan were not included in the stud
79 ually for each treatment applying supervised analysis Data Integration Analysis for Biomarker discove
80 role in study design, data collection, data analysis, data interpretation, or writing of the report.
82 with DIAbetes Genetics Replication And Meta-analysis data involving a total of 10,088 diabetes case
83 being established to support bioinformatics analysis, data management, and data sharing among PHLs.
84 d facilitate a wide range of reagent design, analysis, data mining and analysis approaches by biologi
87 of the interim analysis and primary endpoint analysis data monitoring teams) remained masked to treat
88 , research on the three primary types of job analysis data, namely work activities, worker attributes
89 analytical modules in targeted metabolomics analysis, data normalization, quality control assessment
90 istinct sequence conservation and mutational analysis data observed for the stem region of the hairpi
91 based on kinetic models of thermogravimetric analysis data obtained at elevated temperatures; the mod
93 icacy of Deflux is not well defined and cost-analysis data of patients managed in a prospective rando
95 ression quantitative-trait locus (eQTL) meta-analysis data on 1,183 participants to identify conditio
96 rimary prevention by using 2019 aspirin meta-analysis data on cardiovascular disease relative risk re
97 (IHME) COVID-19 database; Bureau of Economic Analysis data on state gross domestic product (GDP); Fed
99 ualization, along with related protocols and analysis data, promotes understanding, reliability, and
110 en 2007- 2011, and compare these to three re-analysis data sets and to simulations with a state-of-th
117 ing in its wake a demand for courses in data analysis, data stewardship, computing fundamentals, etc.
122 fluorescence, and limited trypsin digestion analysis data suggest that suramin-induced oligomerizati
123 studies using previously reported GWAS meta-analysis data suggest that the regions identified on chr
126 AS NMR, (51)V MAS NMR, and thermogravimetric analysis data, the coordination of water sites has been
127 (e.g. ESTs) or experimental (e.g. expression analysis) data they need to be validated by other method
128 ased on grid subsampling of microscopy image analysis data to extract the tumor-stroma interface zone
129 was applied to the instrumental and sensory analysis data to visualize differences between the sampl
130 onductor facilities for advanced statistical analysis, data transformation, visualization and integra
131 ditional facilities for advanced statistical analysis, data transformation, visualization and integra
132 ation was conducted from a limited number of analysis data using a statistical distribution method.
133 ped) with the recently published PGC-BD meta-analysis data, using either the PGC-BD combined discover
136 oportional hazards model, fitted to the meta-analysis data, was used to construct the expected surviv
141 otyping, lifestyle questionnaires, and urine analysis data were obtained from 604 individuals (438 [7
143 ing, and Participants: For this bibliometric analysis, data were abstracted from 1303 original peer-r
146 018 to December 2020, and for this secondary analysis, data were analyzed from April to September 202
147 TICIPANTS: In this single-institution cohort analysis, data were collected from patients with payer-d
149 In this uncontrolled interrupted time-series analysis, data were extracted from the Mozambique ART da
154 ed on global 7 year hourly meteorological re-analysis data with a fine spatial resolution of [Formula
155 T infarct volume correlated with ex vivo TTC analysis data (y = 1.01x + 0.00, R = 0.98, standard erro