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PyClone

Group project in the course DD2434 - Machine Learning, Advanced Course at the Royal Institute of Technology (KTH), in Stockholm, Sweden. This project took place between December 2015 and January 2016.

This project consists of a reimplementation of the PyClone analysis tool presented in the scientific paper PyClone: statistical inference of clonal population structure in cancer - A. Roth et.al

Authors

  • Fredrik Dahlin
  • Mateusz Buda
  • Victor Reyes

DATA

In this folder there are four files generated by mixing healthy tissue from four individuals. Each experiment was done in varying proportions as described in "Detection of low prevalence somatic mutations in solid tumors with ultra-deep targeted sequencing". These four samples correspond to experiments Cal-A - Cal-D from that paper run on MiSEQ.

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Group project for group 2 in course DD2434 - Machine Learning, Advanced Course at KTH.

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  • Python 100.0%