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The automated procedure for mass data processing involved two main steps.
The model enables the construction of an automated procedure for mass data processing.
Secondly, we constructed an algorithm for mass data processing and extracted diurnal dependencies of the minimum slant range, corresponding elevation angle, and effective reflection height from the Hokkaido East SuperDARN dataset for a period from 2007 to 2014.
The algorithm that can be used for mass data processing turns into the hot research point of anomaly detection, to form normal behavior profile on the audit records and adjust the profile timely as the program behavior changed.
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Finally, based on Bayesian inference, we present a few advanced methods particularly designed for some mass spectrometry data processing problems.
For certain problem instances, such as very large mass values (above 400,000 Da) or mass range span larger than 1 Da, the Round Robin algorithm is not suitable and CDK falls back to an optimized full enumeration search method, originally developed as part of the MZmine 2 framework for mass spectrometry data processing [54, 55].
The mass spectrometry data processing was performed by Data Analysis 5.3.
YPED currently supports mass spectrometric data processing with either ProteinPilot [32] (AB Sciex Inc).
TL contributed to samples analysis by mass spectrometer, data processing and bioinformatics analysis.
WL carried out collection of T. rubrum conidia, samples preparation and prefractionation, samples analysis by mass spectrometer, data processing and bioinformatics analysis, and drafted the manuscript.
Typically, time-of-flight data from 20 – 50 individual laser pulses were recorded and averaged on a transient digitizer, after which the averaged spectra were automatically converted to mass by data processing software (Bruker Daltonics Genotools version 1.0).
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