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BSU Seminar: “Using Gaussian processes to model branching dynamics from single-cell data”

July 17, 2018 @ 2:30 pm - 3:30 pm

Free

Speaker: Prof. Magnus Rattray, University of Manchester

Title:“Using Gaussian processes to model branching dynamics from single-cell data”

Abstract: In single-cell gene expressions experiments each cell may be at a different point in some dynamic process but the time information for each cell is not available. Pseudotime methods seek to infer time from these high-dimensional and noisy data points. We are developing methods for inference of pseudotime and branching dynamics in single-cell gene expression data. We use Gaussian processes, which allow for uncertainty in pseudotime inference and provide a natural prior over branching processes. To make inference tractable we have implemented methods using the GPflow/Tensorflow package, which allows for efficient inference through gradient-based optimisation of variational marginal likelihoods.

References: 

Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas “GrandPrix: Scaling up the Bayesian GPLVM for single-cell data” Bioinformatics, bty533 (in press).

Alexis Boukouvalas, James Hensman, Magnus Rattray “BGP: Branched Gaussian processes for identifying gene-specific branching dynamics in single cell data” Genome biology 19 (1), 65

Details

Date:
July 17, 2018
Time:
2:30 pm - 3:30 pm
Cost:
Free
Event Category:
Website:
https://www.mrc-bsu.cam.ac.uk/news-and-events/bsuseminars/

Organiser

MRC Biostatistics Unit
Email
research_admin@mrc-bsu.cam.ac.uk

Venue

Large Seminar Room, IPH
Institute of Public Health, Forvie Site
Cambridge, CB2 0SR United Kingdom
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