The phrase "approaches which does" is not correct in English.
It should be "approaches that do" or "approaches which do." You can use the corrected phrase when referring to methods or strategies that are effective or applicable in a certain context.
Example: "There are several approaches that do yield positive results in this study."
Alternatives: "methods that do" or "strategies which do".
In addition, an approach that aggregates the use of data for in silico approaches, which does not require legitimate access to study dossiers, is lacking.
A particular problem lies in the short read length of 35 300 bases of the most commonly used NGS approaches, which does not, in many cases, allow unambiguous mapping of the respective reads to the human reference genome.
Approaches which do not take these constraints into consideration will not be adopted by professionals.
Looking at the US, UK, and French approaches, which do you think is the appropriate grouping or is there another that is more logical and why?
So Rus has been investigating alternative approaches, which don't require separate modules to locate and connect to each other before beginning to assemble more complex shapes.
The feedback situation between policy, human behaviour and ecological systems behaviour can confound these approaches, which do not take systems complexity into account.
Crucially, despite uncertainty being an inherent quality of EA information particularly in the early stages of a design project, current tools solely rely on numerical approaches which do not support such incomplete and vague information.
In the empirical section we perform experiments to demonstrate the scalability of the method and the improvement in terms of reduction of information loss with respect to approaches which do not consider the local neighborhood context when anonymizing.
The design of such devices, however, is still an open issue, since it is often carried out by means of inefficient trial-and-error procedures, or simplified analytical approaches which do not guarantee the optimal exploitation of the dampers.
Existing alongside this however, is the observation that students remain under confident in the application of knowledge to a clinical context and frustrated with learning approaches which do not appear directly related to improving their competence in this area.
This high dimensionality can stymie approaches which do not consider feature selection to address this form of Big Data.
