Author

Sara Masarone

Queen Mary University of LondonORCID 0000-0002-0058-0936Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:batch correction / integration· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:statistical model· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Jordan S. LaneiD· 1 shared Layla Hosseini-GeramiiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperSystems Biology

Jordan S. LaneORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintJul 31, 2024

Using SAFEPATH to Uncover a Novel Mechanism of Hepatotoxicity for Gefitinib

Layla Hosseini-Gerami, Sara Masarone, Jordan S. Lane

This study uses SAFEPATH to identify a novel sphingolipid metabolism mechanism of Gefitinib toxicity and validate it experimentally, while recovering the known UGT1A1-mediated toxicity of Erlotinib.

1 citation

humandeep learning

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BioinformaticsbioRxivPreprintApr 23, 2023

Representation Learning to Effectively Integrate and Interpret Omics Data

Sara Masarone

This paper introduces a framework to integrate omics data types and generate interpretable embeddings by addressing regularization challenges in deep generative models.

DOI 10.1101/2023.04.23.537975

variational autoencoderdeep learning

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