DevKidCC allows for robust classification and direct comparisons of kidney organoid datasets.

Sean B WilsonSara E HowdenJessica M VanslambrouckAude DorisonJose Alquicira-HernandezJoseph E PowellMelissa H Little

Published in: Genome medicine (2022)

The application of DevKidCC to kidney organoids reproducibly classifies component cellular identity within distinct single-cell datasets. The application of the tool is summarised in an interactive Shiny application, as are examples of the utility of in-built functions for data presentation. This tool will enable the consistent and rapid comparison of kidney organoid protocols, driving improvements in patterning to kidney endpoints and validating new approaches.

Keyphrases

single cell
rna seq
machine learning
deep learning
high throughput
electronic health record
case report
quantum dots