Author

Miguel D. Sousa

Instituto de Engenharia de Sistemas e Computadores Investigação e DesenvolvimentoORCID 0009-0004-1752-9063Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 1

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:imputation· 1 Assay:multiome· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Ana R. BaiãoiD· 1 shared Clare PaciniiD· 1 shared Emanuel GonçalvesiD· 1 shared Mathew J. GarnettiD· 1 shared Phillip James RobinsoniD· 1 shared Qing ZhongiD· 1 shared Roger R. ReddeliD· 1 shared Sofia ApolinárioiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperSystems Biology

Ana R. BaiãoORCID

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1 paper

Recent·Most cited

Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning

Zhaoxiang Cai, Sofia Apolinário, Ana R. Baião, Clare Pacini, Miguel D. Sousa, Susana Vinga, Roger R. Reddel, Phillip James Robinson, Mathew J. Garnett, Qing Zhong, Emanuel Gonçalves

The paper introduces a deep learning model to augment cancer cell line multi-omic data, increasing the number of profiles and uncovering drug resistance mechanisms.

Nature Communications · Nov 29, 2024Peer-reviewedSystems Biology