scorePairs | R Documentation |
Helper function for calcScores
&
evaluateParams
. Calculates a pairwise similarity score between
grouped features using differences in m/z, rt, and Q.
scorePairs(A, B, C, mzdiff, rtdiff, qdiff, rtrange, adductdiff)
A |
Numeric weight for penalizing m/z differences. |
B |
Numeric weight for penalizing differences between fitted & observed retention times. |
C |
Numeric weight for differences in Q (abundance quantiles). |
mzdiff |
Numeric differences between feature m/z values |
rtdiff |
Differences between model-projected retention time value & observed retention time |
qdiff |
Difference between feature quantile Q values |
rtrange |
Range of dataset Y retention times |
adductdiff |
Numeric divisors of computed score when non-empty adduct labels do not match |
The score between two grouped features x & y is calculated as:
S = -exp(-A |mzx - mzy| - B |rty - rtproj|/rtrange - C |Qx - Qy|)
where mzx
& Qx
correspond to the m/z and abundance quantile
values of feature x; mzy
, rty
, and Qy
correspond to the
m/z, retention time, and quantile values of feature y; rtproj
is the model-projected retention time of feature x onto the Y dataset
chromatogram and rtrange
is the retention time range of the Y dataset
chromatogram. A
, B
, C
are non-negative constant weight
parameters for penalizing m/z, rt, and Q differences. Values between 0 (no
confidence alignment) and 1 (high confidence alignment).
Numeric similarity score between 0 & 1
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