作者
Francisco X Galdos, Sidra Xu, William R Goodyer, Lauren Duan, Yuhsin V Huang, Soah Lee, Han Zhu, Carissa Lee, Nicholas Wei, Daniel Lee, Sean M Wu
发表日期
2022/9/7
期刊
Nature Communications
卷号
13
期号
1
页码范围
5271
出版商
Nature Publishing Group UK
简介
A major informatic challenge in single cell RNA-sequencing analysis is the precise annotation of datasets where cells exhibit complex multilayered identities or transitory states. Here, we present devCellPy a highly accurate and precise machine learning-enabled tool that enables automated prediction of cell types across complex annotation hierarchies. To demonstrate the power of devCellPy, we construct a murine cardiac developmental atlas from published datasets encompassing 104,199 cells from E6.5-E16.5 and train devCellPy to generate a cardiac prediction algorithm. Using this algorithm, we observe a high prediction accuracy (>90%) across multiple layers of annotation and across de novo murine developmental data. Furthermore, we conduct a cross-species prediction of cardiomyocyte subtypes from in vitro-derived human induced pluripotent stem cells and unexpectedly uncover a predominance of left …
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FX Galdos, S Xu, WR Goodyer, L Duan, YV Huang… - Nature Communications, 2022