4 papers
Uncovering Cellular Resolution in scRNAseq via Unbiased Cell and Gene Network Analysis
Olga lanzetta, Luisa Cutillo, Bailey Andrew +1
Conventional annotation of single-cell RNA-sequencing (scRNA-seq) data relies heavily on manual, marker-based thresholding, an approach that can obscure subtle transcriptomic gradi…
Making Multi-Axis Models Robust to Multiplicative Noise: How, and Why?
Bailey Andrew, David R. Westhead, Luisa Cutillo
In this paper we develop a graph-learning algorithm, MED-MAGMA, to fit multi-axis (Kronecker-sum-structured) models corrupted by multiplicative noise. This type of noise is natural…
Graphical Modelling without Independence Assumptions for Uncentered Data
Bailey Andrew, David R. Westhead, Luisa Cutillo
The independence assumption is a useful tool to increase the tractability of one's modelling framework. However, this assumption does not match reality; failing to take dependencie…
Making Multi-Axis Gaussian Graphical Models Scalable to Millions of Cells
Bailey Andrew, Erica L. Harris, James A. Poulter +2
Motivation: Networks underlie the generation and interpretation of many biological datasets: gene networks shed light on the regulatory structure of the genome, and cell networks c…