A. Hutton

Single-Cell Trajectory Inference for Detecting Transient Events in Biological Processes

scTransient detects transient gene expression events in single-cell data by combining trajectory inference with wavelet analysis, revealing previously unreported biological spikes in three datasets.

Single Cell Proteomics Reveals Novel Cell Phenotypes in Marfan Mouse Aneurysm

This paper uses single-cell proteomics to identify novel cell phenotypes in Marfan mouse aorta, revealing sex differences and angiotensin signaling roles in aneurysm formation.

Synergistic retinal UCHL1 dysregulation and synaptic vulnerability reflect Alzheimer's disease severity

The paper identifies UCHL1 dysregulation and synaptic loss in the retina as markers of Alzheimer's disease severity using integrated multi-omics analysis.

Identification of Chlamydia pneumoniae and NLRP3 inflammasome activation in Alzheimer's disease retina

The paper identifies Chlamydia pneumoniae infection and NLRP3 inflammasome activation in Alzheimer's disease retinas, linking them to disease progression and cognitive impairment.

Distributed Collaboration for Data, Analysis Pipelines, and Results in Single-Cell Omics

The paper introduces a web platform for no-code single-cell omics analysis pipelines, enabling sharing of data, pipelines, and results to improve accessibility and reproducibility.

Deep Learning Predicts Non-Normal Peptide FAIMS Mobility Distributions Directly from Sequence

The paper develops deep learning models to predict FAIMS ion mobility of peptides from sequence, achieving high F2 score on E. coli peptides.