Article

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

2021-01-20

Abstract excerpt

Kidney organoids provide a valuable resource to understand kidney development and disease. Clustering algorithms and marker genes fail to accurately and robustly classify cellular identity between human pluripotent stem cell (hPSC)-derived organoid datasets. Here we present a new method able to accurately classify kidney cell subtypes, a hierarchical machine learning model trained using comprehensive reference dat...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 99bc7515-7f8d-52d8-858a-c8df818c5b33
DOI: 10.1101/2021.01.20.427346

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

DevKidCC allows for robust classification and direct comparisons of kidney organoid datasetsDOI 10.1101/2021.01.20.427346Read

An Integrated Atlas of the Human Kidney Spanning Health and DiseasesSemantic proximity Read

Comparative analysis of kidney organoid and adult human kidney single cell and single nucleus transcriptomesSemantic proximity Read

Systematic evaluation of single-cell multimodal data integration enhances cell type resolution and discovery of clinically relevant states in complex tissuesSemantic proximity Read

Single-cell analysis reveals congruence between kidney organoids and human fetal kidneySemantic proximity Read

Systematic evaluation of single-cell multimodal data integration for comprehensive human reference atlasSemantic proximity Read

Novel Human Kidney Cell Subsets Identified by Mux-SeqSemantic proximity Read

Classification of indeterminate and off-target cell types within human kidney organoid differentiationSemantic proximity Read

An organoid biobank for childhood kidney cancers that captures disease and tissue heterogeneitySemantic proximity Read

Transcriptome-based cell type assignment for kidney cell culture modelsSemantic proximity Read

Single-cell transcriptomics reveals gene expression dynamics of human fetal kidney developmentSemantic proximity Read

High throughput single cell RNA-seq of developing mouse kidney and human kidney organoids reveals a roadmap for recreating the kidneySemantic proximity Read

Kidney organoid reproducibility across multiple human iPSC lines and diminished off target cells after transplantation revealed by single cell transcriptomicsSemantic proximity Read