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Such detection systems are generally more complex and expensive than simpler and more common methods used for detecting less complex genomes (Ross et al., 1998; Ahmadian et al., 2000; Alderborn et al., 2000; Nurmi et al., 2001; Storm et al., 2003).
1D-LC methods can be used for separation of less complex samples (digests of fewer than 100 proteins), but this requires very efficient separations in combination with the additional separation power of MS detection.
The paper presents a novel technique for QRS complex detection with minimum pre-processing required.
Geometrical properties of the obtained phase-space portrait are exploited for QRS complex detection.
In our experiments, a state-of-the-art complex detection method, ClusterONE [ 6], was used to evaluate our method's effectiveness on PPI datasets for protein complex detection.
Our future work will focus on exploring more effective features for the complex detection in PIN.
Results: Here, we devise a novel framework for protein complex detection from co-immunoprecipitation data.
These data are then integrated into the PPI datasets for protein complex detection.
The Zephyr RTOS microPlatform is designed for smaller, less complex devices.
These data are then integrated into the PPI datasets for complex detection.
1. Graph density: The graph density has been used in many complex detection methods, and it has been proven to be an important feature for complex detection [ 8].
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