DELVE: feature selection for preserving biological trajectories in single-cell data

Abstract Single-cell technologies can measure the expression of thousands of molecular features in individual cells undergoing dynamic biological processes. While examining cells along a computationally-ordered pseudotime trajectory can reveal how changes in gene or protein expression impact cell fa...

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發表在:	Nature Communications
Main Authors:	Jolene S. Ranek, Wayne Stallaert, J. Justin Milner, Margaret Redick, Samuel C. Wolff, Adriana S. Beltran, Natalie Stanley, Jeremy E. Purvis
格式:	Article
語言:	英语
出版:	Nature Portfolio 2024-03-01
在線閱讀:	https://doi.org/10.1038/s41467-024-46773-z