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Table S1 in Additional file 1 provides summary statistics of read mapping and data processing.
Statistics for data processing and refinement are listed in Table 1.
The statistics of data processing and data quality for these ternary complexes are summarized in Table 2.
Statistics for data processing, refinement, and structure quality are given in Table 2.
Statistics of the data processing and refinement of the structure are presented in Table S1.
The statistics for data processing are summarized in Table 1.
The work flow diagram for the QL chain in Fig. 1 shows the inputs to the process (rhomboids) and the output plots, statistics and data (round-cornered rectangles) from the processing algorithms.
Statistics and data management: Eric Bellissant and Alain Renault.
Formulate a detailed rebuttal supported by verifiable statistics and data?
Statistics and data analysis.
Projection pursuit classification model (PPC) is a kind of statistics for high-dimensional data processing and analysis and its main thought is to project the high-dimensional data to low-dimensional space and reflect projection value of high-dimensional data structure or feature by low-dimensional space.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com