Determining common insertion sites based on retroviral insertion distribution across tumors
We highlight the CISs and detect the new ones based on insertion distribution across tumor types. The density based clustering can not only classify data correctly, but also filter noises effectively. Taking insertion distribution into consideration improves to distinguish CISs from each other. Novel CISs can be found by taking insertion quantity and insertion distribution into consideration.
common insertion site retroviral insertion dbscan normal standard deviation