ライフサイエンスコーパス: to identify

1 To identify common or rare genetic variation with potential t

2 To identify neural activity specifically associated with cont

3 To identify potential fine differences between rHBeAg and HBe

4 To identify the endogenous receptor for PGE2-G, we performed

5 methods that are robust to platform/batch effects and able to identify perturbed pathways in individual samples.

6 Using cytometry by time-of-flight, we were able to identify several major time-dependent phenotypic changes i

7 We aimed to identify genetic and pathological markers that have the st

8 Additionally, we aimed to identify microbial patterns associated with the onset of e

9 We aimed to identify the role of the enzyme acid sphingomyelinase in t

10 and systematically screen for homozygous deletions, aiming to identify rare tumour suppressors.

11 ing spills could improve the accuracy and speed of analyses to identify and prevent spill risks and mitigate potential en

12 We then used cluster analysis to identify patterns of individual differences in compulsive

13 e sequence of lineage choices made by multipotent cells and to identify the genes influencing these decisions is challeng

14 reen fundus photographs obtained from diabetic patients and to identify, with high reliability, which cases should be ref

15 Using multiple labeling approaches to identify pathways and their postsynaptic sites in the amyg

16 umerous enzymes and to engineering and screening approaches to identify activators and blockers with strong, specific bin

17 rge and diverse population sample drawn from the UK Biobank to identify healthy-weight-sustaining density environments.

18 to establish clinical, serological, and imaging biomarkers to identify high-risk patients, and clinical trials evaluatin

19 tem questionnaire, CAPTURE (COPD Assessment in Primary Care to Identify Undiagnosed Respiratory Disease and Exacerbation

20 rmal individuals using global reasoning on the RN causality to identify key-nodes.

21 These motifs are challenging to identify, but once found they can point to larger networks

22 dings support the use of the SOFA and qSOFA classifications to identify patients with infection who are at elevated risk

23 We also used strict criteria to identify a large set (649) of novel, evolutionarily restri

24 Also, long-term follow-up of patients with TTP is crucial to identify the occurrence of other autoimmune diseases, to c

25 s, such as bound biexcitons, are possible but are difficult to identify unambiguously using linear optical spectroscopy m

26 exposure to hyperoxia using diffusion tensor imaging (DTI) to identify axonal injury distant from contusions.

27 ns, this history-dependent processing was useful in helping to identify target odors over background.

28 filing approach, SID (Saccharomyces cerevisiae IDentifier), to identify the strains present in complex environmental samp

29 tially modifiable condition, it is of particular importance to identify malnourished patients so that nutritional therapy

30 The aim of the present study is to identify microbiota surrounding exposed dental implants in

31 callosum (AgCC), one of the most common brain malformations to identify differences in the effect of virtual corpus callo

32 Here, we propose a new unbiased method to identify canonical and non-canonical miRNA-binding sites f

33 od, followed by application of response surface methodology to identify the optimal Pd-Bi-Te catalyst stoichiometry.

34 However, experimental methods to identify associations between lncRNAs and diseases are exp

35 Here we utilize in situ spectroscopy and microscopy to identify and characterize a support effect in oxide-suppor

36 gested the existence of resistance mechanisms with the need to identify predictive factors of therapy response.

37 We set out to identify novel and functionally important endothelial lncR

38 Whole-exome sequencing was performed to identify gene variants.

39 polyclonal serum-based proximity ligation assay (polyPLA), to identify antigenic variants of subtype H3N2 swine IAVs.

40 enormous complexity in biological networks, it is possible to identify network motifs that lead to functional outputs su

41 n studies (GWAS) have become the state-of-the-art procedure to identify quantitative trait nucleotides (QTNs) associated

42 timization for VEEV antivirals, and is an exciting prospect to identify inhibitors for the many other viral pathogens of

43 We used genomic sequencing to identify potentially pathogenic gene variants in families

44 alized with polyclonal anti-M1 antibodies, which then serve to identify the universal biomarker for the influenza virus,

45 nt need to develop a high-throughput and efficient strategy to identify the E3-substrate interaction.

46 eeting target mismatch criteria were analyzed as a subgroup to identify whether they had different treatment responses fr

47 molecular signature of radiation sensitivity could be used to identify the optimum radiotherapy dose.

48 A murine transgenerational asthma model was used to identify involved pathways.

49 ingle-center continuous flow-LVAD database (n=354) was used to identify patients with chest computed tomographies perform

50 A hierarchical logistic regression model was used to identify predictors of delayed fixation.