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There will only be a 1.1 % reduction in coverage if we reduce our cutoff to 60 mins.
For dry leaves, this sounds unconvincing, and it is better to slightly reduce the cutoff and boost the gain to compensate.
For K-profiles clustering, we started with a p value cutoff of 0.2 and gradually reduced the cutoff to 0.05 with the iterations.
Their suite of services include a Cutoff Analyzer to reduce unnecessary service cutoffs, a Water Rate Simulator that visualizes the impact of rate changes, a S.M.A.R.T. Targets system that helps identify and communicate with water wasters and a Hidden Revenue Locator that looks for water loss and leaks in the system.
Their suite of services include a Cutoff Analyzer to reduce unnecessary service cutoffs, a Water Rate Simulator that visualizes the impact of rate changes, a S.M.A.R.T. Targets system that helps identify and communicate with water wasters and a Hidden Revenue Locator that looks for water loss and leaks in the system.
Reducing the cutoff to define episodes of either type had an impact on the sample size, and total number of episodes, for both cohorts.
One possible solution is running the analyses by gradually reducing the cutoff value until an RCHH appears.
This was achieved by reducing the cutoff to values as low as 1e-99 where necessary.
Reducing the cutoff brought together the respective members of 15 families.
We reduced the cutoff for the posterior probability so that the small group contained 50 genes.
We found that the normal modes involved in the conformational change were newly generated by reducing the cutoff length until the correlation coefficients dropped drastically.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com