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Last, by casting this framework in a protein pathway context, we could compare the detected modules with pre-assigned confidence scores against other multiple validation approaches (see the points discussed below about protein pathways).
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We also refer to 'internal-external cross-validation' [ 16, 17], which is a multiple validation approach that accounts for multiple studies by rotating which are used toward model development and validation.
Two different sample set sizes, two different regression approaches (multiple linear least squares and random forests), as well as several resampling and independent validation approaches are compared.
Worst case approach might allow to "bracket" the different cleaning products and procedures, thus reducing the need for multiple validation protocols.
The main lesson from our validation process is the need for multiple validation strategies, including empirical validation.
This standardization processing includes multiple validation and normalization steps.
The adopted stepwise methodology included multiple validation checks with experts.
This section contains a discussion on validation approaches.
‡ PedsQL 4.0 has undergone multiple validation studies in the US.
Here, we pursued a simple data-driven approach corroborated by multiple validations instead of a more complex model-oriented approach.
Another validation approach is to use multiple antibodies to the same protein of interest that target different parts of the protein (or protein complex) in a ChIP-seq assay.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com