ライフサイエンスコーパス: data

1 ing, and quantitatively analyzing digital pathology imaging data.

2 s some of the more common analytical methods used with this data.

3 in eggs concern their concentrations in raw matrix and the data about the influence of cooking on antibiotics residues i

4 High-speed high-resolution data acquisition now permits rapid measurement of the width o

5 Data analysis was performed from June 1, 2016, to September 1

6 ls included in the study were reviewed for sociodemographic data and comorbidities.

7 Using the Global Burden of Disease study data and methods, we also quantified the burden of disease re

8 High-throughput sequencing data are widely collected and analyzed in the study of comple

9 C in 2010 to 2012 were identified using the National Cancer Data Base, which includes more than 70% of patients newly dia

10 Importantly, we demonstrated how proteomics data could be readily integrated with transcriptomics data in

11 Our data demonstrates that extensive long-term culture-induced MS

12 terial growth using multigenerational cell growth and shape data for single Caulobacter crescentus cells.

13 d 19 managers (733 employees) in the control group provided data for the primary analysis.

14 We analysed data from 14 adult males with adult cerebral adrenoleukodystr

15 Here we use resting-state fMRI data from 176 subjects to show that signals from the human wh

16 I risk in Costa Rican Hispanics.We analyzed cross-sectional data from 1932 case subjects with a first nonfatal MI and 205

17 Individual data from 2092 patients with enteric fever randomized into 4

18 efined as Mini Mental State Examination [MMSE] </=25) using data from nine cohorts of patients with Parkinson's disease f

19 ferences in their cytoplasmic and nuclear accumulation, and data from quantitative PCR analysis closely recapitulated the

20 Post hoc analysis of data from the 36-month prospective, randomized, FAME A and B

21 Our data further demonstrate the importance of Vascular Endotheli

22 omics data could be readily integrated with transcriptomics data in standard annotation tools.

23 Our data indicate that Ct infection of ESC impairs decidualisatio

24 question when analyzing high-dimensional and heterogeneous data is how best to interrogate increasingly specific subphen

25 The study included the data of 2233 subjects who experienced either in-hospital or o

26 Individual patient data on SAEs, assigned drug and dosing regimen, and baseline

27 Malaria surveillance data provide opportunity to develop forecasting models.

28 To fully dissect this data requires the development of stochastic models that can b

29 rganize and describe the diverse experimental variables and data resided in the EMBL-EBI resources.

30 Amongst many fascinating problems for future research, the data revealed a YtfE orthologue, Ddes_1165, that is implicate

31 In the simulated data set, our workflow recovered 96% of simulated SVs.

32 The data shows a number of absorption bands that are assigned to

33 es-phenotypes association analysis due to the similarity in data structure of these two types of researches.

34 Our data suggest a highly disordered CUB, which has acquired a st

35 rbon cycle impacts remains to be confirmed, the radiocarbon data suggest an increase in the efficiency of the biological

36 Together, these data suggest that differences in DNA methylation may partly e

37 These data suggest that it is possible to discriminate between biol

38 Data suggest that the prediction of adult cardiovascular dise

39 Available data suggests that double mutations in patients with hypertro

40 Our data suggests that mouse behavior and EEG recordings are not

41 Our data suggests that RARgamma initiates the formation of death

42 These data support ongoing efforts to centralize care for patients

43 Our data support the hypothesis, in a subpopulation of patients,

44 IVIVE) analyses translating high-throughput screening (HTS) data to human relevance have been limited.

45 sponse model, fully parameterized with experimental imaging data, to describe doxorubicin uptake and predict subsequent p

46 ally tailored to analyze high-dimensional gene perturbation data, to incorporate logical functions that describe interact

47 fitting of extended X-ray absorption fine structure (EXAFS) data using reference organic ligands demonstrated that Fe(II)

48 Using commercial laboratory data, we found 80% of 29382 young persons currently infected

49 The aggregation kinetics data were in good agreement with the classic Derjaguin-Landau

50 Postmortem tissue and clinical data were provided by the Oregon Health and Science Universit