This has an additional benefit to be directly extensible to the alignment of pre-computed alignments representing replicates of different cell states (where signal-to-nothing matches may be significant), and allows one to tackle the problem of an arbitrary number of cell states with the same conceptual framework and finite computational resources.
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A dynamic programming approach for the alignment of signal peaks in multiple gas chromatography-mass spectrometry experiments.
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