activity
20092018
most citedGraphical Models for Zero-Inflated Single Cell Gene Expression

32 citations · 59 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ML2018★ 5 cited

Selective Clustering Annotated using Modes of Projections

Evan Greene, Greg Finak, Raphael Gottardo

Selective clustering annotated using modes of projections (SCAMP) is a new clustering algorithm for data in . SCAMP is motivated from the point of view of non-paramet…

stat.ML2017★ 6 cited

Sequential Dirichlet Process Mixtures of Multivariate Skew t-distributions for Model-based Clustering of Flow Cytometry Data

Boris P. Hejblum, Chariff Alkhassim, Raphael Gottardo +2

Flow cytometry is a high-throughput technology used to quantify multiple surface and intracellular markers at the level of a single cell. This enables to identify cell sub-types, a…

stat.ME2016★ 32 cited

Graphical Models for Zero-Inflated Single Cell Gene Expression

Andrew McDavid, Raphael Gottardo, Noah Simon +1

Bulk gene expression experiments relied on aggregations of thousands of cells to measure the average expression in an organism. Advances in microfluidic and droplet sequencing now…

stat.AP2012

Data Exploration, Quality Control and Testing in Single-Cell qPCR-Based Gene Expression Experiments

Andrew McDavid, Greg Finak, Pratip K. Chattopadyay +5

Cell populations are never truly homogeneous; individual cells exist in biochemical states that define functional differences between them. New technology based on microfluidic arr…

stat.AP2012

Mixture Models for Single Cell Assays with Applications to Vaccine Studies

Greg Finak, Andrew McDavid, Pratip Chattopadhyay +4

In immunological studies, the characterization of small, functionally distinct cell subsets from blood and tissue is crucial to decipher system level biological changes. An increas…

stat.ME2010★ 16 cited

Grouping Priors and the Bayesian Elastic Net

Luke Bornn, Raphael Gottardo, Arnaud Doucet

In the literature surrounding Bayesian penalized regression, the two primary choices of prior distribution on the regression coefficients are zero-mean Gaussian and Laplace. While…