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The user can implement a RKHS regression either by providing covariance matrix (K) or its eigenvalue decomposition (see the example in Box 9).
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Using such non-overlapping weighted designs has a number of advantages over combinatorial pooling schemes: They are easy to implement: While pooling with CRTD, STD or a random design requires either expensive robotic equipment or laborious manual processing that is prone to irreversible errors, a trained multi-channel pipette user can implement an NWD in a manner of minutes.
They are easy to implement: While pooling with CRTD, STD or a random design requires either expensive robotic equipment or laborious manual processing that is prone to irreversible errors, a trained multi-channel pipette user can implement an NWD in a manner of minutes.
Users can implement a distributed program by simply specifying a map function that processes a key/value pair to generate a set of intermediate key/value pairs and a reduce function that merges all intermediate values associated with the same intermediate key.
As an alternative to manually checking every individual SNP, the user can implement the –ultimate function, which, after SWEEP filtering, checks every base from a genotype covering the SNP of interest that was called homozygous reference.
Once the server virtualization is completed, the user can implement his/her application programs regardless of number of servers and their types.
In the software help file, we also describe how the user can implement their own postprocess plugin by extending the abstract class.
It also provides a Python script that users can implement to preprocess raw RNA-Seq data and convert FASTQ and BAM files into RNA VCF files within a practical time frame on a desktop computer.
What's interesting here is that Cerego Labs offers both an API for developers who want to incorporate the service into their own apps, as well as an easy to use editor that non-technical users can implement to build their own learning apps without the need to touch any code.
For example, an application can implement a user policy that allow to define individual policies on a per end user (of tenants) basis.
After that, two search rules are defined and users can implement them to search for the correct cycle slips.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com