Computation and Informatics

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Agenda and Speakers

An Interpretable Machine Learning Method Enables Biomarker Discovery Through Large-Scale Single Cell Data Integration
Greg Finak, PhD, Senior Staff Scientist, Fred Hutchinson Cancer Research Center

TAILOR:Targeting heavy tails in flow cytometry data with fast mixture modeling
Matei Ionita, BA/BS, PhD Student, University of Pennsylvania

Automated Panel Design with Maximized Sensitivity by Accounting for Spillover Spreading
Sofie Van Gassen, PhD, Postdoctoral Fellow, VIB/Ghent University

Developing scalable integrated single-cell analysis approaches in R using 'Spectre' to build and utilise a multi-disease time-series murine inflammatory single-cell atlas
Thomas Ashhurst, PhD, Specialist, University of Sydney

CMLE Credit: 1.0

Components visible upon registration.

NOTE: This event is held in Eastern Daylight time (GMT-4)