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Finally, guidelines for the choice of appropriate surrogate model are discussed.
The identification of appropriate surrogate endpoints for evaluating cancer therapeutics has been of ongoing interest across various tumor types.
We present here a software package to automatically generate these most appropriate surrogate peptides for an LC/MRM MS analysis.
It is therefore of utmost importance to identify appropriate surrogate endpoints that are reasonably likely to measure true clinical benefit.
We either use a black-box transformation of the function (for approximation and learning), or a transformation of algorithms to use an appropriate surrogate function (for minimization).
Moreover, this knowledge will also serve to define a trial's target population, develop biomarkers for disease progression and therapeutic response, determine appropriate surrogate and relevant clinical endpoints, and decide on the study duration.
A fundamental concept is described which identifies n-dodecane and iso-octane as being appropriate surrogate fuel components for the non-aromatic synthetic fuels.
Selecting the most appropriate surrogate peptides to represent a target protein is a major component of experimental design in Multiple Reaction Monitoring (MRM).
One challenge in Multiple Reaction Monitoring (MRM -based proteoMRM -based select the most aproteomics surrogate peptises to represelect theget protein.
We formulate a mathematical programming model that assigns offered classes to time-slots and addresses gender issues by defining appropriate surrogate constraints along with objective penalty terms.
Species accumulation indices (SAIs) were used to compare the efficacy of surrogates and revealed that fish species were a more appropriate surrogate of benthic species (SAI = 71%) than benthic species were for fishes (SAI = 42%).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com