L. M. Franco

Single-cell analysis reveals the range of transcriptional states of circulating human neutrophils

This study uses scRNA-seq to show that circulating human neutrophils are transcriptionally heterogeneous, forming four distinct clusters with distinct transcriptional states.

Blood gene expression-based prediction of lethality after respiratory infection by influenza A virus in mice

The paper develops a machine learning model using blood gene expression data to predict lethality in mice infected with influenza A virus.

A Deep Learning Pipeline for Nucleus Segmentation

This paper develops a deep learning pipeline to evaluate nuclear segmentation models trained on small, custom annotated datasets, showing they can match or exceed performance of pre-trained models.