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

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An Interpretable Machine Learning Method Enables Biomarker Discovery Through Large-Scale Single Cell Data Integration
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Open to view video.
You must register to access.
TAILOR: Targeting heavy tails in flow cytometry data with fast mixture modeling
Open to view video.
Open to view video.
You must register to access.
Automated Panel Design with Maximized Sensitivity by Accounting for Spillover Spreading
Open to view video.
Open to view video.
You must register to access.
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
Open to view video.
Open to view video.
You must register to access.
CMLE Evaluation Form
11 Questions
11 Questions CMLE Evaluation Form
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Completion Credit
1.00 CMLE credit  |  Certificate available
1.00 CMLE credit  |  Certificate available
You must register to access.

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