Guillem Rigaill

PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data

Peak detection is a central problem in genomic data analysis, and current algorithms for this task are unsupervised and mostly effective for a single data type and pattern (e.g. H3K4me3 data with a sharp peak pattern). We propose PeakSeg, a new constrained maximum likelihood segmentation model for p…