The first of its kind at U-M, the MIDAS Reproducibility Challenge aims to highlight high-quality, reproducible work at U-M by collecting examples of best practices across diverse fields.

Single-cell RNA sequencing (scRNA-seq) offers new opportunities to study gene expression of tens of thousands of single cells simultaneously. We present DeepImpute, a deep neural network-based imputation algorithm that uses dropout layers and loss functions to learn patterns in the data, allowing for accurate imputation.

“When you first begin looking at new data like this, it’s like landing on Mars and looking around for the first time, but a Mars with little critters never described before staring back at you,” said Melissa Duhaime, assistant professor of ecology and evolutionary biology & CCMB affiliated faculty member, commenting on the discovery of