Title: A super scalable algorithm for short segment detection
Authors: Yue Niu - University of Arizona (United States) [presenting]
Ning Hao - University of Arizona (United States)
Heping Zhang - Yale University (United States)
Feifei Xiao - University of South Carolina (United States)
Abstract: In many applications such as Copy Number Variation (CNV) detection, the goal is to identify short segments which have means different from the background. The target segments are usually short and hidden in a long sequence, which make the problem very challenging to solve. We introduce a super scalable short segment detection algorithm, which is fast in computation. It is a nonparametric method that does not rely on Gaussian assumption. Moreover, it can assign a significance level for each of detected segment.