Dr. Christopher Yau, Reader in Computational Biology based in the Centre for Computational Biology at the University of Birmingham will present the lecture "Probabilistic modelling approach for pseudotime estimation in single cells and populations."
Note: This biostatistics seminar is jointly organised with the Sven Furberg Seminars in Bioinformatics and Statistical Genomics.
Meeting Dr. Yau
If you want to meet Dr. Christopher Yau, please book a time slot at https://doodle.com/poll/wkxkwqb6gzqvde5v and send an email to firstname.lastname@example.org.
More information below and at http://www.mn.uio.no/ifi/english/research/networks/clsi/seminars/dr.-christopher-yau-lecture%281%29.html.
Single cell pseudotime algorithms attempt to extract temporal information from cross-sectional molecular profiles of single cells. Whilst there are a plethora of algorithmic methods for single cell pseudotime estimation, our focus has been on the development of model-based probabilistic approaches using Bayesian inference. I shall talk about a suite of pseudotime methods that have been developed in my group and their application to single cell genomics and beyond.
Organizer: Oslo Centre for Biostatistics and Epidemiology (OCBE), Research group in Statistics and Biostatistics, Dept. of Mathematics, UiO, Big Insight and the Sven Furberg Seminars in Bioinformatics and Statistical Genomics
Runde Auditorium, Domus Medica, Oslo