Andrew Jones

This work optimizes experimental design for spatial genomics studies by proposing structured batch experimental design approaches for atlas construction and region localization.

The paper links histology and molecular states across human tissues by analyzing paired bulk gene expression and histology data from the GTEx Consortium, revealing shared sources of variation and specific correlations with donor characteristics.

The paper introduces a Poisson reduced-rank regression model for association mapping in scRNA-seq and other sequencing data, showing it captures gene expression-covariate associations effectively.

This paper introduces a probabilistic model to align spatial genomics and histology data across different scales and technologies, enabling accurate downstream analysis.

The paper integrates transcriptional profiles with viability data to identify a generalized transcriptional signature linked to reduced viability in cancer cell lines across various perturbations.