Cell Type Hierarchy Reconstruction via Reconciliation of Multi-resolution Cluster Tree

Minshi Peng,Brie Wamsley, Andrew Elkins, Daniel M Geschwind,Yuting Wei,Kathryn Roeder

bioRxiv (Cold Spring Harbor Laboratory)(2021)

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摘要
AbstractA wealth of clustering algorithms are available for Single-cell RNA sequencing (scRNA-seq), but it remains challenging to compare and characterize the features across different scales of resolution. To resolve this challenge Multi-resolution Reconciled Tree (MRtree), builds a hierarchical tree structure based on multi-resolution partitions that is highly flexible and can be coupled with most scRNA-seq clustering algorithms. MRtree out-performs bottom-up or divisive hierarchical clustering approaches because it inherits the robustness and versatility of a flat clustering approach, while maintaining the hierarchical structure of cells. Application to fetal brain cells yields insight into subtypes of cells that can be reliably estimated.
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关键词
cell,cluster,tree,reconstruction,multi-resolution
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