Trajectory inference across multiple conditions with condiments
Hector Roux de Bézieux; Koen Van den Berge; Kelly Street; Sandrine Dudoit · 2024 · Nature Communications
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
In single-cell RNA sequencing (scRNA-Seq), gene expression is assessed individually for each cell, allowing the investigation of developmental processes, such as embryogenesis and cellular differentiation and regeneration, at unprecedented resolution. In such dynamic biological systems, cellular states form a continuum, e.g., for the differentiation of stem cells into mature cell types. This process is often represented via a trajectory in a reduced-dimensional representation of the scRNA-Seq dataset. While many methods have been suggested for trajectory inference, it is often unclear how to h
Abstract by Hector Roux de Bézieux; Koen Van den Berge; Kelly Street; Sandrine Dudoit, Nature Communications (2024) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1038/s41467-024-44823-0