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1 xpression obtained before and after ozone exposure was also used to identify changes associated with neutrophil counts in
2 from each tumor model, characterized transcriptionally, and used to identify specific therapies that were validated in vi
5 rotocols that were developed to study GPCR signaling can be used to identify and quantify RTK ligand bias.
6 , and LIBS coupled with machine learning classifiers can be used to identify both consumer and environmental plastic samp
7 These data suggest that IgA-Biome analyses can be used to identify novel microbial signatures associated with d
8 i.e., prediction methods based on interactomes, that can be used to identify putative drug-target interactions without re
9 neuronal gene regulation and demonstrate that eRNAs can be used to identify putative target genes.
12 de a proof-of-concept to show how Raman spectroscopy can be used to identify the types of tissues found in a nasal septal
13 ed whether transposon insertion sequencing (INSeq) could be used to identify bacterial genes involved in phage binding.
14 Here we examined whether molecular profiling could be used to identify functional clusters of colon afferents from
15 the cardiovascular effects of fenofibrate and that could be used to identify patients with type 2 diabetes who would deri
16 We review how connectivity might be used to identify an optimal TMS target for use in all patient
17 Universal molecular markers have been used to identify these species, but insufficient phylogenetic
18 land cohorts formed a training and cross-validation dataset used to identify structural connectivity explaining change in
19 blished so far in the literature, together with the methods used to identify the two initial fragments either simultaneou
21 netic approaches such as QTL mapping have been successfully used to identify the underlying speciation genes.
25 The Hospital Episode Statistics database was used to identify adults in England receiving primary antirefl
27 o dissect the activation mechanism, structural homology was used to identify an unstructured loop of approximately 20 res
28 is report, the 16S rRNA gene amplicon sequencing method was used to identify bacteria that are specifically present in in
30 Multivariable-adjusted Poisson regression was used to identify factors associated with hospitalization rate
31 Multivariable linear regression was used to identify independent clinical predictors of each outc
32 Multivariable logistic regression was used to identify risk factors for the primary endpoint, 28-da
33 ursive feature elimination using random forest (RFE-RF) was used to identify the best combination of features to distingu
34 Molecular profiling (RNA sequencing) was used to identify enriched pathways and upstream regulators.Me
35 cluded a random forest (RF) classification model, which was used to identify wet or dry nodes over the domain.
37 The methods of Walker and Avant were used to identify antecedents, attributes and consequences of
38 HIV pol sequences sampled across China were used to identify relevant transmission networks of the five m
39 Searches of Medline, the Cochrane Library and CINAHL were used to identify recent primary research, which was reviewed
40 Diagnostic criteria and procedure codes were used to identify condition at admission, including hypotensio
41 In this study, low photon flux conditions were used to identify the initial reaction intermediates of CdS qu
44 n" on structural spectral-domain OCT (SD-OCT) imaging, were used to identify characteristic features of this sign.
45 onal-hazards model (PHM) and propensity score matching were used to identify predictors for discontinuation due to ineffi
46 sting, contact-tracing, and next-generation sequencing were used to identify ANDV infection as the cause of this outbreak
47 ed genes (DEGs) in Pkd2 single-knockout kidneys, which were used to identify candidate pathways dysregulated in kidneys d
48 oogle and 2 social media platforms (Facebook, YouTube) were used to identify online information most accessible to patien
49 ene co-expression network analysis methods have been widely used to identify correlation patterns between genes in variou
50 referred to as 'epigenetic clocks', which have been widely used to identify differences between chronological age and bi