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We employed a window width of 1200 samples (∼10 minutes) and step of 200 samples (∼2 minutes) to compute HRV over time.

FFT-based protein-protein docking needs only a few minutes to compute a protein pair, although the performance is not adequate for large-scale interactome predictions, which require docking calculations for millions of protein pairs.

For example, it took 3 minutes to compute GR for the rice data usint R version 3.0.1 on my Acer laptop (Windows 7, 64 bit, 4 GB RAM, processor Intel(R) CPU @ 1.60 GHz).

However, the computation time for PLSR/PCR was very much reduced compared to the 'BayesB': e.g. 'BayesB' used approximately 200 minutes to compute the marker effects for the lowest marker density, which was approximately 65 times longer than PLSR/PCR, and the computer time increased rapidly as the marker density increased (Table 3).

Similar(55)

For all c ≥ 0.3 it took under a minute to compute all maximal cliques and it took below 0.01 seconds for all c ≥ 0.5.

In contrast, it only takes less than 1 minute to compute the RH bound of value 12 (higher than the MAF result).

The recommendation of the Task Force [ 4] to use the range of 0.15 to 0.4 Hz (9 to 24 respirations per minute) to compute HRV in the HF band assumes that this range will include the respiratory rate, which is true in most clinical situations.

Regardless of all these manipulations, given that s6803 has 3722 genes, promed4 has 1760, and pro9313 has 2328, even if it takes several minutes for SNARK to compute a solution, this is far less time than it would take a biologist to do the same work manually or using spreadsheets.

Our implementation of the canonical basis approach, on the other hand, takes within minutes to hours to compute a few thousand EMs.

These values over several minutes are then taken to compute the 50th and the 90th percentile group spread.

It takes 1,341 seconds (about 23 minutes) of CPU time to compute the steady state probability distribution on a Linux workstation.

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