Article

Integrating temporal single-cell gene expression modalities for trajectory inference and disease prediction

2022-03-02

Abstract excerpt

Current methods for analyzing single-cell datasets have relied primarily on static gene expression measurements to characterize the molecular state of individual cells. However, capturing temporal changes in cell state is crucial for the interpretation of dynamic phenotypes such as the cell cycle, development, or disease progression. RNA velocity infers the direction and speed of transcriptional changes in individ...

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Literature Corpus work: c2cddacb-fb0f-54b4-b152-1ba0e1ec8052
DOI: 10.1101/2022.03.01.482381

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