John T. Ormerod

PACE quantifies how proximity to different cell types affects gene expression in spatial transcriptomics data, revealing tumour-associated reprogramming in breast and melanoma tissues.

spicyR is an R package for analyzing spatial localization changes of cell types across images, applied to type 1 diabetes data to reveal disease-related cellular associations.

scREMOTE predicts regulatory gene relationships and builds a computational model for cell reprogramming using multimodal single-cell data, showing improved long-term prediction of transcription factor effects.

scMerge integrates multiple scRNA-Seq datasets by removing unwanted variation through stably expressed genes and pseudo-replicates, enhancing biological discovery.

DCARS identifies gene pairs with significant changes in correlation across survival stages, outperforming existing methods in cancer datasets.