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Learning biologically-interpretable latent representations for gene expression data: Pathway Activity Score Learning Algorithm
Molecular gene-expression datasets consist of samples with tens of thousands of measured quantities (i.e., high dimensional data). However, lower-dimensional representations that retain the useful biological information do exist. We present a novel algorithm for such dimensionality reduction called...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600308/ https://www.ncbi.nlm.nih.gov/pubmed/37900054 http://dx.doi.org/10.1007/s10994-022-06158-z |