AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates

no code implementations • 8 Oct 2020 • Geoffrey C. Fox, Gregor von Laszewski, Fugang Wang, Saumyadipta Pyne

The COVID-19 pandemic has profound global consequences on health, economic, social, political, and almost every major aspect of human life.

Supervised Classification of Flow Cytometric Samples via the Joint Clustering and Matching (JCM) Procedure

no code implementations • 11 Nov 2014 • Sharon X. Lee, Geoffrey J. McLachlan, Saumyadipta Pyne

We consider the use of the Joint Clustering and Matching (JCM) procedure for the supervised classification of a flow cytometric sample with respect to a number of predefined classes of such samples.

Clustering General Classification

Joint Modeling and Registration of Cell Populations in Cohorts of High-Dimensional Flow Cytometric Data

no code implementations • 31 May 2013 • Saumyadipta Pyne, Kui Wang, Jonathan Irish, Pablo Tamayo, Marc-Danie Nazaire, Tarn Duong, Sharon Lee, Shu-Kay Ng, David Hafler, Ronald Levy, Garry Nolan, Jill Mesirov, Geoffrey J. McLachlan

Simultaneously, JCM fits a random-effects model to construct an overall batch template -- used for registering populations across samples, and classifying new samples.

Clustering