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Results of recovery between 90% and 105% show that it can be successfully applied to this kind of samples.
In order to detect the small signals produced by this kind of samples, new instruments designed for the microscale are needed.
The results show that the designed measurement system has high precision and can satisfy the measurement of this kind of samples.
Samples of geological origin will not be described in detail here; for this kind of samples, detailed information can be found in journals devoted to geology and geochemistry.
In this study, we have three types of samples: positive samples, negative samples, and the others (we call this kind of samples as not positive and not negative samples, NP & NN for short).
Irreversible anonymization should be considered an exceptional procedure because with this kind of samples it is not possible to trace any information about disease history, lifestyle, personal and health information.
The current study focused on this kind of samples - either with a low leukemic blast load, poor quality control criteria or both - and the ability to identify favorable-risk karyotype AMLs in such situations, using microarray-based GEP and a class prediction method based on GGA.
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Here, we resort to this kind of sample-based numerical approximate method.
Uniaxial compression generates important shear effects in this kind of sample.
This sample was only analyzed using μDRX in order to test the diffraction technique on this kind of sample.
This kind of sample distillation keeps all the advantages of traditional electrothermal atomization and allows significant reduction of matrix interferences.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com