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We propose approaches based on Takagi Sugeno (TS) models.
After describing the basic features of sequential trials and highlighting some major issues in their design, we propose approaches that mitigate these issues.
To deal with this type of imputation challenge, we propose approaches that do not assume standard distributions; moreover we recommend using more than one approach to allow testing the sensitivity of the regression results to the choice of imputation model.
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In this work, we proposed approaches for identification of relations between miRNAs and other named entities such as diseases, and genes/proteins from biomedical literature.
Then we describe our proposed approaches for implementing the framework in Sect. 4.
Thus, we propose different approaches to improve the system.
Instead, we propose two approaches to empirically determine the most efficient grouping of rare variants.
We propose three approaches to achieve this goal.
We propose two approaches to solve the inverse problem.
In contrast, we propose different approaches to HIV testing for different populations.
We propose 2 approaches to further understand sex role decisions in hermaphrodites.
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