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Subsequently, we explored the prognostic significance of members of the EpCAM signalling pathway, using the log-rank test.
Subsequently, we explored the impact of gestational age on the evolution of IPV over both time periods.
25 Subsequently, we explored the longitudinal length and weight growth patterns from first trimester onwards until the age of 6 years for children with and without clustering of cardiovascular risk factors.
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Subsequently, we explore the efficiency of transfer learning from the previously trained model with synthetically generated silhouettes, to the problem of real pose classification, by continuing the training of the already trained network, using a few frames of annotated real silhouettes.
Subsequently, we explored whether the respondents and/or close peers to them had experienced victimisation since having initiated their migration towards Europe and if they had, we probed for a detailed description of the victimisation acts, the context in which it happened and the consequences.
Subsequently, we explored different predicting factors for the use of public, compared to private, services.
Subsequently, we explored independent predictors of discordant ethnicity information by constructing a multivariable logistic regression model with concordant/discordant ethnicity status as the binary outcome variable and self-reported ethnicity as a covariate.
Subsequently, we have explored the possibility to trace back the importance of certain functional groups for substrate/inhibitor properties using the FP-growth algorithm.
Since Aurora-A kinase has been shown to be implicated in p53 degradation, we subsequently explored the radiation response after treatment by PHA680632 (24 h exposure) in cancer cell lines with different p53 functional status.
We subsequently explored the role of dose interval and circadian time for irinotecan oxaliplatin combination.
We subsequently explored the variables included in the initial model by adding one variable at a time to a new model and evaluated the behavior of the Bayesian information criteria (BIC) of all models created in this way.
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CEO of Professional Science Editing for Scientists @ prosciediting.com