bioRxivPlant Biology
Coexpression enhances cross-species integration of scRNA-seq across diverse plant species
Abstract
Single-cell RNA sequencing is increasingly used to investigate cross-species differences driven by gene expression and cell-type composition in plants. However, the frequent expansion of plant gene families due to whole genome duplications makes identification of one-to-one orthologs difficult, complicating integration. Here, we demonstrate that coexpression can be used to identify non-orthologous gene pairs with proxy expression profiles, improving the performance of traditional integration methods and reducing barriers to integration across a diverse array of plant species.
- organism: plant (other)
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: batch correction / integration
- approach: deep learning
- approach: statistical model
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