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1 low for pre- and postprocessing of raw LC-MS data.
2 ng or contain misclassification of mortality data.
3 m with satellite observations and reanalysis data.
4 nd Prevention respiratory virus surveillance data.
5 tion to the inherent spatial aspects of such data.
6 y upload, analyze and visualize their RNAseq data.
7 lligence by discovering patterns in existing data.
8 -sustained epidemics from any viral sequence data.
9 issions (CO2, SO2, and NOX) using historical data.
10 del and Freundlich isotherm model fit to the data.
11 oses, health services utilization, and death data.
12 t transcript isoform switches in time-series data.
13 acts, read full-text articles, and extracted data.
14 tatively analyzing digital pathology imaging data.
15 ged > 65 years in 2009 using Medicare claims data.
16 icient, or early or late baseline laboratory data.
17 previously published 3.8-A resolution X-ray data.
18 ore common analytical methods used with this data.
19 ties in the 3 countries for which there were data.
20 conditions for obtaining and fitting CV-PAC data.
21 e, high-quality DNA, RNA, and drug screening data.
22 nases by (1) combining open with proprietary data, (2) choosing Random Forest over alternative tested
24 eline-carried-forward imputation for missing data.A total of 153 participants (means +/- SDs: BMI: 33
25 n their concentrations in raw matrix and the data about the influence of cooking on antibiotics resid
29 isease, but comprehensive cytokine profiling data across different clinical characteristics are lacki
31 s are pledging to make code they produce for data analysis and modeling open source, and are actively
34 , the implementation of modern detection and data analysis techniques has resulted in marked improvem
39 but not yet standard to combine RNA-centric data and analysis tools with other types of experimental
42 nd are supported by anachronistic production data and environmental information, which cannot be rela
44 ng urban simulation models involving spatial data and its aggregation to different spatial scales.
45 Using the Global Burden of Disease study data and methods, we also quantified the burden of disea
47 ental potential landscape from environmental data and simulate bird movement within this landscape ba
48 nsition to a metallic state are supported by data and that the data contradict the authors' own uncon
50 Technical advances in single-cell sequencing data and their application to greater samples is reveali
53 sion, do not offer new or different climatic data, and are supported by anachronistic production data
55 e information, videos, tutorials, and sample data are available at dmri.slicer.org Cancer Res; 77(21)
56 disease, and we offer recommendations, when data are available, for patients with other clinical ind
57 ite enthusiastic agreement that experimental data are directly relevant for determining grammar archi
58 y, comprehensive, and real-time surveillance data are essential to reduce the burden of antimicrobial
60 lusions that the authors draw from their The data are perfectly compatible - in fact, much more in li
64 Here using a large whole-genome sequencing data bank, cancer registry and colorectal tumour bank we
65 12 were identified using the National Cancer Data Base, which includes more than 70% of patients newl
66 s ranged from 79.8 to 88.8%, while precision data, based on within and between days variations, sugge
67 nd papillomaviruses were detected in RNA-seq data, but proportions were similar (P = .73) across all
68 ntrol drug response and illustrates how such data can add substantial confidence to target identifica
72 ave until now relied on information based on data collected in two dimensions: either histological se
73 he breadth of data produced by NTP, the CEBS data collection component is an integrated relational de
78 structure provided better overall fit to the data compared with a non-nested factor structure model.
80 and structural high-resolution neuroimaging data consisting of positron emission tomography (PET) an
81 lic state are supported by data and that the data contradict the authors' own unconfirmed previous re
82 Importantly, we demonstrated how proteomics data could be readily integrated with transcriptomics da
92 with a reverse engineering approach to infer data-driven dynamic network models of multi-organ gene r
93 cal LASSO (wgLASSO) algorithm to integrate a data-driven network model with prior biological knowledg
94 For compounds with in vivo target activity data (e.g. animal toxicity testing results), the integra
98 conducted abstract and full-text screenings, data extractions, and risk of bias (ROB) assessments.
99 hemical information that can supplement IVUS data for a comprehensive assessment of plaques pathophys
101 onfounders and normalizing the residual load data for each country, we estimate a common dose-respons
104 e (WRA) (age range: 15-49 y).Cross-sectional data for PSC (8 surveys; n = 8413) and WRA (4 surveys; n
107 ysis of single-nucleotide polymorphism (SNP) data for Spanish teosinte, sympatric populations of cult
113 Rican Hispanics.We analyzed cross-sectional data from 1932 case subjects with a first nonfatal MI an
115 hods We used National Health Interview Study data from 2000, 2005, 2008, 2010, 2013, and 2015 to exam
120 itis-associated variants using existing GWAS data from a German case-control sample of aggressive per
121 fferent perspective on this issue, analyzing data from an influential study reporting a median power
125 th Risk Behavior Surveillance System (YRBSS) data from January 1, 1999, to December 31, 2015, which a
127 Scientific Registry of Transplant Recipients data from June 2013 to June 2015, we identified 1768 DD
128 Mental State Examination [MMSE] </=25) using data from nine cohorts of patients with Parkinson's dise
129 mation with clinic records, and lack of cost data from other case-finding approaches commonly used in
130 ir cytoplasmic and nuclear accumulation, and data from quantitative PCR analysis closely recapitulate
131 ession projects, GXD collects and integrates data from RNA in situ hybridization, immunohistochemistr
132 nalysis of in vivo two-photon Ca(2+) imaging data from somatosensory cortex of Fmr1 knock-out (KO) mi
142 at are strongly nonlinear.The huge amount of data generated in fields like neuroscience or finance ca
145 evelopments a vast amount of high-throughput data has been profiled to understand the mechanism of co
148 que sensitivities to a mutation in fgf8a Our data highlight novel aspects of SHF, OFT and HM developm
152 orientation in the enzyme and we analyse the data in terms of a two-state equilibrium between compact
154 -7), and cyclin D1in vitro and in vivo These data indicate that Gab2 mediates the pathologic progress
161 n of Sp1 modules with genomic and epigenomic data indicates epigenetic control of Sp1 targets' expres
167 ic shedding using commonly collected disease data is hampered by numerous challenges, including short
168 analyzing high-dimensional and heterogeneous data is how best to interrogate increasingly specific su
169 te regimes and identify where coarse climate data is most and least likely to reduce the accuracy of
172 is study, based on three national serosurvey data of hepatitis B in China, we propose an age- and tim
173 ovides an excellent fit for the experimental data of liquid argon, for a range of thermodynamic condi
174 i noline is reported, the (1)H and (13)C NMR data of which are in excellent agreement with those of (
175 ta-analyses of genome-wide association study data on 2080 cannabis-dependent cases and 6435 cannabis-
176 ort Study (SJLIFE) retrospectively collected data on CHCs in all patients treated for childhood cance
177 pical forests, especially when combined with data on edaphic conditions and other environmental drive
178 proved only modestly by including additional data on foliar P, but doing so may increase the capabili
179 ) and 350 girls (63.9%) in the non-AD group (data on gender identification were missing for 17 patien
181 who underwent reoperation and had available data on the date of their initial cholecystectomy were i
182 ous variation in running among friends, with data on the network ties and daily exercise patterns of
183 t de novo linkage maps on 7-12x whole-genome data on the Red postman butterfly (Heliconius erato) wit
188 s are a key Antarctic indicator species, but data patchiness has challenged efforts to link populatio
197 Additionally, in vivo findings support our data, providing evidence that LDR is a promising option
198 requency and B0 shim changes, and effects on data quality during real-time-corrected three-dimensiona
212 ascinating problems for future research, the data revealed a YtfE orthologue, Ddes_1165, that is impl
213 power and speed of computers, with the "big data" revolution having already happened in genomics and
217 e, we discuss ways we can leverage molecular data sets to develop new hypotheses for disease mechanis
219 by the special opportunities associated with data sets, nearly all of which have been observational,
223 a, we hope that this system will help enable data sharing and reanalysis in the metabolomics field.
233 nal and high-dimensional nature of microbial data, statistical inference cannot offer reliable result
241 cts remains to be confirmed, the radiocarbon data suggest an increase in the efficiency of the biolog
245 ively phosphorylated in the misS mutant, the data suggest that controlled but not constitutive activa
259 iated mechanism; pharmacological and genetic data suggest the importance of delta-opioid receptors.
263 lization, which, together with the signaling data, suggests that the microtubule cytoskeleton may fac
267 ording to the Prostate Imaging Reporting and Data System (PI-RADS) version 2; only thereafter, the re
268 As a result of the differences in spectral data, the incorrect structural assignment of the natural
270 marily because of the size and volume of the data to be processed, but also because it ensures standa
271 cal activity culture from geolocated Twitter data to examine the relationship between these neighborh
276 ully parameterized with experimental imaging data, to describe doxorubicin uptake and predict subsequ
277 o analyze high-dimensional gene perturbation data, to incorporate logical functions that describe int
279 t NGSCheckMate is effective for a variety of data types, including exome sequencing, whole-genome seq
281 idence for the existence of g when analyzing data using a mixed approach, that is, when comparing ind
282 er, and tissue from textual metadata and GEO data using both a heuristic approach as well as machine
284 nded X-ray absorption fine structure (EXAFS) data using reference organic ligands demonstrated that F
299 on effects by combining daily global weather data, which creates exogenous variation in running among
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