Abstract
Hybrid single-molecule measurements, which combine multiple measurement modalities, can help to better understand complex biomolecular processes. At the same time, they call for new algorithms to detect state changes in multidimensional parameter space by jointly analyzing multiple synchronized measurement channels. Here we develop the MUlti-channel Log-Likelihood Ratio (MULLR) algorithm. This algorithm identifies change points in multi-channel single-molecule measurements by extending the popular binary segmentation and log likelihood ratio test framework, originally developed by Watkins and Yang.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
