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SEMMA mainly focuses on the modeling tasks of data mining projects, leaving the business aspects out (unlike, e.g., CRISP-DM and its Business Understanding phase). Additionally, SEMMA is designed to help the users of the SAS Enterprise Miner software. Therefore, applying it outside Enterprise Miner may be ambiguous. [3]
Small-angle scattering (SAS) is a scattering technique based on deflection of collimated radiation away from the straight trajectory after it interacts with structures that are much larger than the wavelength of the radiation. The deflection is small (0.1-10°) hence the name small-angle. SAS techniques can give information about the size ...
Lysozyme models built by different methods. Left - overall shape reconstructed by SASHA; middle - dummy residue model, built by DAMMIN; DAMMIF; right - chain compatible GASBOR model. One problem in SAS data analysis is to get a three-dimensional structure from a one-dimensional scattering pattern. The SAS data does not imply a single solution.
This can be based on inherent scattering differences, e.g. DNA vs. protein, or arise from differentially labeled components, e.g. having one protein in a complex deuterated while the rest are protonated. In terms of modelling, small-angle X-ray and neutron scattering data can be combined with the program MONSA.
The first pharmacokinetic model described in the scientific literature [2] was in fact a PBPK model. It led, however, to computations intractable at that time. The focus shifted then to simpler models, [3] for which analytical solutions could be obtained (such solutions were sums of exponential terms, which led to further simplifications.)
JMP Pro is intended for data scientists, and has an emphasis on advanced predictive modelling and model selection. [41] JMP Genomics, used for analyzing and visualizing genomics data, [49] requires a SAS component to operate and can access SAS/Genetics and SAS/STAT procedures or invoke SAS macros. [48]
pSeven is a design space exploration (DSE) software platform that was developed by pSeven SAS that features design, simulation, and analysis capabilities and assists in design decisions. It provides integration with third-party CAD and CAE software tools; multi-objective and robust optimization algorithms; data analysis , and uncertainty ...
The main steps in model-based design approach are: Plant modeling. Plant modeling can be data-driven or based on first principles. Data-driven plant modeling uses techniques such as System identification. With system identification, the plant model is identified by acquiring and processing raw data from a real-world system and choosing a ...