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The arrow on the ST map points to the defect.
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The 2013 BioNLP ST mapped each task to an overarching objective: i.e. to apply different tasks to construct a knowledge base for systems biology needs [ 20].
Unlike in Perl, the C++ std::map container is treated as a Python dict object, and a mapped string can be accessed as dict [ key].
Sets of sequences were extracted from each of the all_mrna, stsMap, and all_est annotation tables.
We searched for the resulting sequences in Golden Path's all_mrna, clonePos, stsMap, and all_ests tables.
One such example is the { infons} data structure in a number of BioC classes, which is a C++ std::map container template mapping a key string to a value string.
Both Smt-MF and Smt-LF mappings were better than Std mapping in terms of resolving contours, especially in lower octaves (octave 3) with small (1-semitone) interval sizes, where Smt-LF mapping was statistically significant and this emphasizes that semitone mapping may be advantageous to the Std mapping.
The pitch ranking results with the AMO showed that Std mapping was significantly poorer than either of the Smt mappings for the tone pair D-D# (1-semitone interval) in all three octave ranges.
Since the Std mapping has a wider input frequency range than the Smt mappings, the average encoded spectrum will be greater than with either Smt mappings.
The pitch ranking test with NH subjects was intended to examine whether the Smt mappings would indeed produce better representation of complex tones over Std mapping.
Because there were no changes to the specific coding of temporal information for all three mappings, the Smt mappings effectively changed the spectral density representations compared to the Std mapping.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com