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Since the numbers of features were too large to build a reliable diagnostic model, peak detection was used to reduce the number of features.
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The model was used as the emission probability of the null state of a hidden Markov model for peak detection.
To exclude the possibility that TileProbe's observed advantage was due to differences in implementing the MAT model and peak detection algorithm, the MAT curves shown in Figure 2 were based on peak detection results obtained using the MAT we implemented in TileProbe.
Charcoal samples were analyzed with statistical models to facilitate peak detection and determine fire recurrence intervals.
In order to compute F, a baseline fitting step was performed to model photo-bleaching effect and a peak detection step was performed to model the signal peak.
The peak detection stage detects the peaks in the LC/MS sample files.
In contrast, our peak detection method successfully detects all correct peaks with only one false result.
Recently, Bayesian non-parametric models have also been proposed for peak detection in MALDI Time of Flight (TOF) mass spectra [ 19].
If not, the peak detection algorithms with symmetric peak models would fail to identify any of the peaks in the overlapping distribution.
A per-spot P-value is systematically calculated according to the Rosetta error model (Weng et al., 2006), which can be used for peak detection.
Independent experiments were combined using MM-ChIP v. 1.0.0 with a mappable genome size of 1910000000, band width of 200, model fold = 10,30 and a p-value cut-off for peak detection of 1e-05 [ 23].
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