Events
DMS Statistics and Data Science Seminar |
Time: Feb 25, 2021 (02:00 PM) |
Location: ZOOM |
Details: Speaker: Antony Pearson (Auburn University) Title: Quantifying Structure within Unstructured Symbolic Data
Abstract: Modern biological research is epitomized by “omics” experiments, which produce millions to billions of symbolic outcomes in the form of reads (i.e., DNA sequences of a few dozen to a few hundred nucleotides). Unfortunately, these intrinsically non-numerical datasets are often highly contaminated, and the possible sources of contamination are usually poorly characterized. The latter contrasts with continuous datasets, where it is often well-justified to assume that the distribution of contaminating samples is Gaussian. To overcome hurdles associated with these data, I will introduce the notion of “latent weights,” which measure the largest expected fraction of samples from a contaminated probabilistic source that conforms to a model in a well-structured class of desired models. As proof of concept, I use latent weights to reevaluate a long-standing assumption used in most modern DNA methylation analysis.
Location: https://auburn.zoom.us/j/83299681626?pwd=SjlGNi9MWWhEMExGM0c0QzBPK0hMZz09
Roberto Molinari is inviting you to a scheduled Auburn University Zoom e-meeting. If you're a new participant, we have a quick start guide here: https://aub.ie/zoomquickstart
Topic: DMS - Data Science Seminar Time: This is a recurring meeting Meet anytime Join from PC, Mac, Linux, iOS or Android: Password: 098550 Connect using Computer/Device audio if possible. Or Telephone: Meeting ID: 832 9968 1626 Dial: +1 301 715 8592 (US Toll) or +1 312 626 6799 (US Toll)
Or an H.323/SIP room system: H.323: 162.255.37.11 (US West) or 162.255.36.11 (US East) Meeting ID: 832 9968 1626 Password: 098550
SIP: 83299681626@zoomcrc.com Password: 098550
See Statistics & Data Science Seminar - Auburn University College of Sciences and Mathematics for complete calendar |