Tag Archives: UPENN

Single-cell RNA sequencing (scRNA-seq) data are noisy and sparse. Here, UPENN researchers show that transfer learning across datasets remarkably improves data quality. By coupling a deep autoencoder with a Bayesian model, SAVER-X extracts...

The goal is to make it easier for science teachers to incorporate the latest advances in science into their curricula. The initiative, Discovering the Genome, was spearheaded by Kristin Field, director of programs at Penn’s Nano/Bio Interface Center, and Junhyong ...

Human pancreatic islets consist of multiple endocrine cell types. To facilitate the detection of rare cellular states and uncover population heterogeneity, UPENN School of Medicine researchers performed single-cell RNA-sequencing on islets from multiple deceased organ donors, including children, healthy adults, ...

New approach to quantifying gene “read-outs” reveals important variations in protein synthesis and has implications for understanding neurodegenerative diseases PHILADELPHIA— A new way of mapping the “transcriptome” — the collection of RNA read-outs that are expressed by a cell’s active ...

“Drug target identification and translational research using RNA sequencing in single cells” Jennifer Singh, PhD, Dept. of Systems Pharmacology & Translational Therapeutics, Penn March 25, 2015

Penn Medicine study has implications for 100 top-selling US drugs, half of which target daily-oscillating genes PHILADELPHIA — A new effort mapping 24-hr patterns of expression for thousands of genes in 12 different mouse organs – five years in the making ...

Increasingly, biologists have come to realize that RNA is not merely a transitional state between DNA and proteins but plays a major role in determining whether and how genes are turned into a protein product. Gaining a deeper understanding of ...