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Firstly, we have developed a new data integration method for TF target gene prediction from multiple data sources.
We developed a new data recorder that has a few tens of GB in memory but is sufficient for the Arase mission data.
For this purpose, we have developed a new data acquisition system with SPARC CPU on VMEbus and the associated software, to retain the functionality of CAMAC control.
To handle noise with more flexibility and to reduce occurrence of fringe-jump errors, we developed a new data acquisition (DAQ) system using a high-speed FPGA-based digitizer.
(Summers et al. 1998, 2007; Katoh et al. 2013; Hikishima et al. 2014) To observe waves and particles with an accuracy of a few 10 μs, we developed a new data recorder and processor that can store and process large amounts of data faster than previous models.
To streamline our transcriptome analysis, we developed a new data mining and organization software, Microarray Data Visualizer (MDV).
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Uervirojnangkoorn et al. have now developed a new data-processing procedure that is specifically designed for diffraction data obtained using X-ray free electron lasers.
In summary, we have developed a new data-mining approach based on a combination of ADTrees to predict AxLN status in patients with primary breast cancer, as a case study.
The commission is developing a new data protection regulation; it should act on excessive state surveillance.
In this paper, we develop a new data offloading algorithm based on the game model.
First, we develop a new data representation structure to capture the experimental data systematically.
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