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Fig. 6 | BMC Bioinformatics

Fig. 6

From: Locality-sensitive hashing enables efficient and scalable signal classification in high-throughput mass spectrometry raw data

Fig. 6

Evalutation on real data: fraction of precursors kept (left panel), window reduction rate (center panel), and peak reduction rate (right panel) as functions of m and n. For certain choices of m and n only few windows containing selected precursors are lost, while the data reduction rates in terms of windows and peaks are very high, emphasizing the intended usage of our approach as a prefilter. However, m and n can also be varied to balance the trade off between recovery rate and reduction

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BMC Bioinformatics

ISSN: 1471-2105

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