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docs/source/user_guide/ms_data.rst

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@@ -592,11 +592,9 @@ Here, we can assess the purity of the precursor to filter spectra with a score b
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print("\nPurity scores")
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print("total:", purity_score.total_intensity) # 9098343.890625
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print("target:", purity_score.target_intensity) # 7057944.0
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print(
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"signal proportion:", purity_score.signal_proportion
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) # 0.7757394186070014
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print("signal proportion:", purity_score.signal_proportion) # 0.7757394186070014
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print("target peak count:", purity_score.target_peak_count) # 1
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print("residual peak count:", purity_score.residual_peak_count) # 4
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print("interfering peak count:", purity_score.interfering_peak_count) # 4
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.. code-block:: output
@@ -614,7 +612,7 @@ Here, we can assess the purity of the precursor to filter spectra with a score b
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target: 7057944.0
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signal proportion: 0.7757394186070014
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target peak count: 1
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residual peak count: 4
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interfering peak count: 4
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We could assess that we have four other non-isotopic peaks apart from our precursor and its isotope peaks within our precursor isolation window.
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The signal of the isotopic peaks correspond to roughly 78% of all intensities in the precursor isolation window.

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