Author

Marco Barsacchi

University of PisaORCID 0000-0002-7457-7393Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1

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Helena Andrés-TerréiD· 1 shared Píetro LióiD· 1 shared

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2018-2018 · peak 1/yr

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1 shared paperSystems Biology

Helena Andrés-TerréORCID

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1 paper

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Systems BiologybioRxivPreprintJul 11, 2018

GEESE: Metabolically driven latent space learning for gene expression data

Marco Barsacchi, Helena Andrés-Terré, Píetro Lió

GEESE uses a metabolic model to improve latent space learning for gene expression data, capturing biologically relevant features and enhancing generalization.

10 citations

bulk RNA-seqdeep learning

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