This first experiment highlights the benefit of the optimization and the distribution of the correlation algorithm for optical images.
Finally, we used the distribution of the biclusters by each algorithm in the different sections of the ranking as the criterion to evaluate the algorithm, which would be very helpful in analyzing the difference of the algorithms.
Then we obtained the distribution of the biclusters output by each algorithm in this unified ranking as shown in the panels of plots in the Figures 6 and 7.
Then, we obtained the distribution of the biclusters output by each algorithm in this unified ranking as shown in the Figure 2. The details about WE scores of all biclusters for two datasets were summarized in Additional file 2: Table S2 and Additional file 3: Table S3.
The algorithm utilizes the distribution of the background data to compute p-values for putative peaks in the ChIP-seq data.
Then, we obtained the distribution of the biclusters generated by all algorithms in this unified ranking as shown in the Figure 3.
For example, for the simulation result presented in Section 6.4 (energy consumption graph of Kachirski et al.'s clustering algorithm), the distribution of the total life time is shown in Figure 14.
Figure 4 shows the distribution of the different steps of the EpiSimdemics algorithm, for both the CPU and GPU implementations.
We studied the distribution of the Pulse-Doppler radar signal processing chain algorithm on the proposed parallel machine.
Furthermore, an algorithm for the distribution of the hop-1 MPNCs' resources among the real-time (RT) and non-real-time (NRT) MDEVs at hop-2 is introduced.
