"data analyzer" is correct and usable in written English.
You can use it to refer to someone or something that analyzes data. For example, "The team is hiring a data analyzer to make sense of the company's customer records."
MHM performed zebrafish husbandry, morpholino knockdown and drug treatment experiments, acquired images, wrote the laser-scanning velocimetry data analyzer software, analyzed linescan images and drafted the manuscript.
NeuronJ trace coordinates were exported as text files then processed to calculate average velocity and acceleration versus time data with Laser-Scanning Velocimetry Data Analyzer software we developed using Visual Basic v6.0 and Access 2003 (Microsoft).
The chip can be applied as a general purpose data analyzer; particularly for analyzing and reducing on-line the data coming from detectors.
Besides analyzing events specific to VMs and containers, our data analyzer should handle events generally related to the kernel activity.
Then, this 'raw' data is processed and clusters (concepts) reflecting the user's interests are created by "Data analyzer".
"He was like a born-again data analyzer," Berkley muses, recalling the endless evenings and weekends Katabira spent hovering over the keyboard, typing with two spindly fingers, recording his cases.
By monitoring users for news and entertainment choices and purchases, data analyzers gather valuable information for sale to prospective vendors.
A research enterprise centered around self-organizing patient groups might effectively compel both data collectors and data analyzers to commit to a level of engagement and data sharing or risk being excluded from the system.
However, there are other data recovery technology and data analyzers that could help alleviate the risk of data loss.
Not only are today's individuals data collectors, but they are also data analyzers.
Therefore, CPM can directly use the distributions of boundary genes to trace the critical time points of phase transitions, whose dependent parameter setting will be estimated from both experience of data analyzers and pattern quality evaluation of biclustering.
