Many thanks to all co-authors, especially the bioinformatics team, Che-Wei Hsu, Lorena Sofia Lopez Zepeda and Martin Burkert as well as co-corresponding authors Scott Lacadie and Uwe Ohler. It was so much fun to work on this project together!
I am so happy to share that our paperis officially published in Cell Genomics! In this paper, we describe TESLA-seq, which combines pooled CRISPR activation with targeted single-cell RNA-seq to map enhancer-gene connections at high sensitivity.
Link to the full story: www.cell.com/cell-genomic...
20 year lab anniversary and local reunion last Friday!
1/4 🧵 Preprint alert: In "Metrics Matter: Why We Need to Stop Using Silhouette in #SingleCell #Benchmarking," we reveal critical flaws in common #Evaluation metrics for #Integration and propose robust alternatives. @uweohler.bsky.social
www.biorxiv.org/content/10.1...
Shortcomings of silhouette in single-cell integration benchmarking - @uweohler.bsky.social @prauten.bsky.social @mdc-bimsb.bsky.social @mdc-berlin.bsky.social @humboldtuni.bsky.social go.nature.com/4fcQzZr
Dubravka Vucicevic
Dubravka Vucicevic
Silhouette score is unsuitable as a metric for single-cell data integration.
