The phrase "a more complex experimental" is not correct in English.
It seems to be missing a noun after "experimental." You can use it when discussing a type of experiment that is more complex than another, but it needs to be rephrased for clarity.
Example: "We need to design a more complex experimental setup to test our hypothesis effectively."
Alternatives: "a more intricate experiment" or "a more advanced experimental design."
We also consider a more complex experimental design focusing on the effects of aging in the human kidney.
Indeed, our aim was to study the pure and specific effect of some basic emotions on a particular action: we wanted to avoid any confound between the effect of the social dimension of emotions, as they are capable to influence others' actions, and the effect of the sociality of a more complex experimental situation per se.
Further studies of ET-1 receptor blockade on permeability are therefore required in a more complex experimental setting on intact animals or in isolated perfused lungs.
In a more complex experimental design with multiple covariates and their levels, the number of higher-level clusters may need to be larger to capture the richness of the association between the observed data and the experimental covariates.
In a few cases of more complex experimental designs, also second-order interactions were found, indicating that natural factors can modify interactions among chemicals.
However, MALBAC is a new method with more complex experimental procedure that was developed especially for single-cell sequencing, and thus the cost will be higher than that of MDA and DOP.
Future directions of this platform include its extension to more complex experimental designs and its packaging within a software solution.
Incorporating a spatial component into the model would address this issue; however, significantly more complex experimental data would be required.
Unlike the alternative approach based on Markov chain approximation, the proposed one has the decisive advantage of dramatically reducing the computing time of the estimation procedure, thus allowing a age- and state-dependent model to be potentially applied also in more complex experimental frameworks, e.g., in presence of random effects.
The investment in such a refinement of the risk assessment, e.g., in the form of mathematical models or more complex experimental studies (aquatic mesocosms, and field studies) is usually worthwhile for the applicant company.
In our current work, we aim to reduce the computational complexity of BitSeq by replacing MCMC with a faster deterministic approximate inference algorithm and we are generalizing the model to include more complex experimental designs in the DE analysis stage.
