A 5-state Hidden Markov Model is used to assign copy number states to genomic regions and segment the expression signal into regions of similar copy number states. The five states represent homozygous deletion, heterozygous deletion, neutral, one-copy amplification, and multi-copy amplification, with emission probabilities initialized by estimating them from the data. [@serin_harmanci_casper_2020]