Corpus ID: 222133217

Factorized linear discriminant analysis for phenotype-guided representation learning of neuronal gene expression data

@article{Qiao2020FactorizedLD,
  title={Factorized linear discriminant analysis for phenotype-guided representation learning of neuronal gene expression data},
  author={Mu Qiao and Markus Meister},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.02171}
}
A central goal in neurobiology is to relate the expression of genes to the structural and functional properties of neuronal types, collectively called their phenotypes. Single-cell RNA sequencing can measure the expression of thousands of genes in thousands of neurons. How to interpret the data in the context of neuronal phenotypes? We propose a supervised learning approach that factorizes the gene expression data into components corresponding to individual phenotypic characteristics and their… Expand

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