labelSeg: segment annotation for tumor copy number alteration profiles
It is an algorithm designed for rapid and accurate annotation of CNA segments, with the aim of enhancing the interpretation of tumor SCNA profiles.
Leveraging density-based clustering and exploiting the length–amplitude relationships of SCNA, labelSeg proficiently identifies distinct relative copy number states from individual segment profiles. Its compatibility with most CNA measurement platforms makes it suitable for large-scale integrative data analysis.