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The first set was used to explore the data and develop the models; the second set was used to test them.
ESG conceived of the study, participated in its design and implemation, and helped to analyze the data and develop the manuscript.
Our team tried to minimize this by having more than one member independently analyze the data and develop the framework of themes that arose from the results.
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LDX designed the research, developed study conception, collected, analysed and interpreted data, and developed the manuscript.
CM participated in collecting the data and developing the analysis plan, coordinated the data analysis, and helped to draft the manuscript.
In summary, my Ph.D. thesis provided a basis for deciphering mutational signatures from cancer genomics data and developed the first comprehensive census of mutational signatures in human cancer.
The Java API provided by Tango [84], the Android NDK [85] and the Point Cloud Library [86] would be used for accessing and processing the data and developing the application.
The study was carried out in two steps that were step – The gathering of basic data and developing the system, and step 2 – The evaluation of the system by the experts.
AP analysed the data and developed the software.
FC processed the data and developed the database.
QH conducted the experiment, analyzed data and developed the concept.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com