Original title: Sweetwater: An interpretable and adaptive autoencoder for efficient tissue deconvolution
Authors: Jesus de la Fuente, Naroa Legarra, Guillermo Serrano, Ana García Osta, Krishna R. Kalari, Carlos Fernandez-Granda, Idoia Ochoa, Mikel Hernaez
The article addresses a challenge in gene expression analysis: capturing diverse cell types in tissues efficiently. While bulk RNA sequencing struggles with this, single-cell RNA sequencing is complex, especially for brain tissues. New methods aim to estimate cell types from RNA-seq using single-cell data but face limitations like being hard to interpret and not handling data differences well.
Original article: https://arxiv.org/abs/2311.11991