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The TAS calculation is available as open-source R implementation at https://bitbucket.org/BhagwanYadav/target-addiction-score-tas-calculation.
The program prepares the spectral data using a series of standard processing steps; baseline subtraction, normalization, recalibration, calculation of Total Average Spectrum (TAS), calculation of peak area on TAS, calculation of area of each peak and normalization of peak areas.
An open-source and easily extendable implementation of the TAS calculation is made freely available to support its tailored application to translating drug sensitivity testing results into addiction scores, which may lead to many exciting drug development and repurposing applications.
To promote its application to the future drug testing studies, we have made available an open-source implementation of the TAS calculation in the form of a stand-alone R package.
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The BM25 TA calculation differed from the tf-idf TA calculation in two major ways: 1) it limited the word set to those that occur in less than 0.99% of the documents instead of using the full word-document matrix, and 2) it used the BM25 similarity approach in place of the standard tf-idf.
For the TA calculation, all IDF scores below 2.0 were discarded, effectively limiting the set of terms used in the calculation to those with ni<21,324 (i.e., present in less than 0.99% of the documents).
Instead, we use a Generalized Hebbian Algorithm [33] to approximate matrix S. For the LSA TA calculation S was limited to the top 100 singular values, and for the LSA MeSH calculation S was limited to the top 200 singular values.
The PRR-TA calculations for T2DM used as background all drugs from ATC-code A10B and were performed with a sequentially more restricted background, seen in models 5-8 below.
Show your TA the calculations you performed to find the maximum clock rate (non-pipelined).
Show your TA the calculations you performed to find the maximum clock rate (pipelined).
Her ta-tas shakin'.'".
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