| findHotspots | R Documentation | 
Find breakpoint hotspots with kernel density estimation (KDE).
findHotspots(models, bw, pval = 0.05, spacing.bp = 5000, filename = NULL)
| models | A list of  | 
| bw | Bandwidth used for kernel density estimation (see  | 
| pval | P-value cutoff for hotspots. | 
| spacing.bp | Spacing of datapoints for KDE in basepairs. | 
| filename | Will write hotspot coordinates and densities to the specified file. Endings "_breakpoint-hotspots.bed.gz" and "_breakpoint-densities.wig.gz" will be appended to  | 
findHotspots uses density to perform a KDE. A p-value is calculated by comparing the density profile of the genomic events with the density profile of a randomly subsampled set of genomic events. Due to this random sampling, the result can vary for each function call, most likely for hotspots whose p-value is close to the specified pval.
A list of GRanges-class objects containing 1) coordinates of hotspots and 2) p-values within the hotspot.
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