Searching large-scale scRNA-seq databases via unbiased cell embedding with Cell BLAST

Searching large-scale scRNA-seq databases via unbiased cell embedding with Cell BLAST

Single-cell RNA-seq (scRNA-seq) is being widely used to resolve cellular heterogeneity. Here, the authors present a cell-querying method built on a neural network-based generative model and a customized cell-to-cell similarity metric.

Bibliographic Details
Main Authors: Zhi-Jie Cao, Lin Wei, Shen Lu, De-Chang Yang, Ge Gao
Format: Article
Language:English
Published: Nature Publishing Group 2020-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-17281-7
Description
Summary:Single-cell RNA-seq (scRNA-seq) is being widely used to resolve cellular heterogeneity. Here, the authors present a cell-querying method built on a neural network-based generative model and a customized cell-to-cell similarity metric.
ISSN:2041-1723

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