Computation and Informatics
- Registration Closed
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
