Phenotype prediction from single-cell RNA-seq data using attention-based neural networks

Exploring foci of: Bioinformatics • Vol 40 • No 2 Phenotype prediction from single-cell RNA-seq data using attention-based neural networks February 2024 • Yuzhen Mao, Yen‐Yi Lin, Nelson K.Y. Wong, Stanislav Volik, Funda Sar, Colin C. Collins, Martin Ester Abstract Motivation A patient’s disease phenotype can be driven and determined by specific groups of cells whose marker genes are either unknown or can only be detected at late-stage using conventional bulk assays such as RNA-Seq technology. Recent advances in single-cell RNA sequencing (scRNA-seq) enable gene expression profiling in cell-level resolution, and therefore have the potential to identify those cells driving the disease phenotype even while the number of these cells is small. However, most existing met… Open Article Page

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