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Activity Number: 555
Type: Contributed
Date/Time: Wednesday, August 12, 2015 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Genomics and Genetics
Abstract #316751
Title: Application of Iterated Curve Registration to Single Molecule Genomics
Author(s): Subhrangshu Nandi* and Michael Newton and David C. Schwartz
Companies: University of Wisconsin - Madison and University of Wisconsin and University of Wisconsin - Madison
Keywords: Curve registration ; functional data ; single molecule genomics
Abstract:

In functional data analysis, where both amplitude and phase variability a ffect individual trajectories, it is often desirable to eliminate (or reduce) the phase variability in order to study a cross-sectional mean function. Techniques like dynamic time warping and curve registration have successfully addressed this question. However, these rely on having a good initial curve against which the others are aligned. We are developing an "iterative curve registration" technique, which yields a more accurate cross-sectional mean function, under appropriate smoothness conditions of the unregistered functions. This development responds to challenges in the analysis of large-scale data from single-DNA molecule measurements arising in nanocoding, a system for whole genome analysis. We will demonstrate the iterative registration to nanocoding data obtained from multiple-myleoma tumor samples and discuss how the fi ndings help to understand genomic variation.


Authors who are presenting talks have a * after their name.

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