Alex Bigger-Allen

The paper identifies novel biomarkers for bladder outlet obstruction using transcriptomic and proteomic data from rodent models and human patients.

The paper uses multi-omics analysis to study molecular changes in the bladder after spinal cord injury in rats and identifies DNA damage response pathways modulated by inosine treatment.

The paper investigates how bromodomain inhibition affects cytoskeleton stability and contraction by analyzing transcriptomic changes and the effects of MYC inhibitor JQ1 on smooth muscle cells and fibroblasts.

This paper uses machine learning to identify a three-gene mRNA signature that distinguishes non-ulcerative bladder pain syndrome from controls and detrusor overactivity patients.

SpheroScan is a deep learning tool for automated spheroid image analysis that improves reproducibility and throughput in 3D spheroid assays.

The paper introduces MLcps, a Python package that combines multiple performance metrics into a single score for classification problems, tested on biological datasets to assess model robustness.