Article

Feature selection for preserving biological trajectories in single-cell data

2023-05-12

Abstract excerpt

Single-cell technologies can readily measure the expression of thousands of molecular features from individual cells undergoing dynamic biological processes, such as cellular differentiation, immune response, and disease progression. While examining cells along a computationally ordered pseudotime offers the potential to study how subtle changes in gene or protein expression impact cell fate decision-making, ident...

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Literature Corpus work: 9322ac1f-75ed-5558-9d26-87c911daf4b0
DOI: 10.1101/2023.05.09.540043

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