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Mechanistic, manual analysis of such data sets is time-consuming and not realistic using conventional techniques.
The analysis of such data is usually carried out using a general mixed modelling approach.
This chapter presents a first attempt at the analysis of such data.
First ideas for the analysis of such data are based on the theory of U-statistics.
SOLVE is designed to automate fully the analysis of such data.
These processing pipelines and quality-control measures have been adapted by the research community as the standard for the analysis of such data.
Computational analysis of such data sets allows for accurate (∼99.5%) reconstruction of chromosome-spanning haplotypes for ∼95% of alleles in hybrid mouse cells with 30× sequencing coverage.
The cholera research was an early application of mapping in medical investigations, a technique that has become widespread now that computers facilitate the display and analysis of such data.
The issues related to the analysis of such data are discussed; particularly the sampling rate and threshold values.
However, the increasing size and complexity of products on the market makes manual analysis of such data challenging.
In what is believed to be the first large-scale analysis of such data, researchers from the University of Pennsylvania looked at 17,000 Yelp reviews of 1,352 hospitals from consumers.
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CEO of Professional Science Editing for Scientists @ prosciediting.com