[ABE-L] Webinar em High Dimensional Data Analysis

[Ronaldo Dias]

Prezados(as)
Gostaria de convidá-los(as) a assistir mais um seminário em Análise de
Dados em Alta Dimensão. Ocorrerá às 13hs, 4/11/2020. Link para google meet
abaixo. Desta vez teremos como palestrante, a Profa. Camila de Souza,
Assistant Professor in Data Science at Western University in London,
Ontario, Canada.
meet.google.com/bzx-pbva-imx
<https://meet.google.com/bzx-pbva-imx?hs=122&authuser=1>

https://meet.google.com/bzx-pbva-imx

*Title of Talk: *Epiclomal: probabilistic clustering of sparse single-cell
DNA methylation data
*Speaker*: Prof. Camila de Souza, Western University, Canada

Abstract: In this talk, I will present Epiclomal, a probabilistic method to
cluster sparse CpG-based DNA methylation data from single-cell whole-genome
bisulfite sequencing (sc-WGBS). Our approach is based on a hierarchical
mixture model, which pools information from observed data across all cells
and neighboring CpGs to infer the cell-specific cluster assignments and
their corresponding hidden methylation profiles. Using synthetic and
published single-cell CpG datasets we show that Epiclomal outperforms
non-probabilistic methods and is able to handle the inherent missing data
feature which dominates sc-WGBS. Using a novel sc-WGBS dataset from breast
cancer xenografts, we show that Epiclomal discovers sub-clonal patterns of
methylation in aneuploid tumor genomes, thus defining epiclones. We show
that epiclones may transcend copy number determined clonal lineages, thus
opening this important form of clonal analysis in cancer. Epiclomal has
been recently published at PLOS Computational Biology (
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008270
).


*Biography:* Dr. Camila de Souza is an Assistant Professor in Data Science
at Western University in London, Ontario, Canada. Dr. de Souza’s research
program consists of developing novel statistical methods to analyze large
and complex data structures arising from various areas in the Natural
Sciences, Health, and Engineering, such as cancer genomics, molecular
biology, and electrical engineering. Dr. de Souza received her Ph.D. in
Statistics at the University of British Columbia and was a postdoctoral
fellow at the BC Cancer Research Centre working on statistical methods for
high-dimensional sequencing data. Dr. de Souza is originally from Brazil
where she received both her Bachelor's and Master's degrees at the
University of Campinas.


-- 
Ronaldo Dias, Ph.D.
Professor
Dept. of Statistics-IMECC, UNICAMP
www.ime.unicamp.br/~dias
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