Caitlin E. Mills

This paper shows that kinase inhibitors commonly target multiple kinases, independent of approval status, and highlights the need for better understanding of their polypharmacology.

The paper maps oxidative stress response in TNBC using single-cell and spatial data, identifying GCLC+ mesenchymal tumor cells linked to better patient outcomes.

The paper introduces a method called Dye Drop for high-throughput single-cell assays in 384-well plates, enabling detailed dose-response analysis of small molecules in breast cancer cell lines.

The paper presents a LINCS Microenvironment perturbation dataset cataloging transcriptional, proteomic, epigenomic, and phenotypic responses of MCF10A cells to six ligands, enabling integrative analysis of molecular and phenotypic changes.

This study introduces paired evaluation to improve performance estimation of machine learning models in drug response and disease severity prediction, showing up to 30% variation in performance estimates based on test data choice.

This study quantifies cell proliferation in tumors using multiplexed imaging and identifies spatial and temporal patterns of cell cycle regulation.

This study investigates factors affecting the reproducibility of in vitro drug-response assays across multiple centers, identifying context-sensitive factors that impact results.