A supervised Bayesian factor model for the identification of multi-omics signatures

Jeremy P. Gygi; Anna Konstorum; Shrikant Pawar; Edel Aron; Steven H. Kleinstein; Leying Guan

doi:10.1101/2023.01.25.525545

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A supervised Bayesian factor model for the identification of multi-omics signatures

View ORCID ProfileJeremy P. Gygi, View ORCID ProfileAnna Konstorum, Shrikant Pawar, View ORCID ProfileEdel Aron, View ORCID ProfileSteven H. Kleinstein, View ORCID ProfileLeying Guan

doi: https://doi.org/10.1101/2023.01.25.525545

Jeremy P. Gygi

1Program in Computational Biology & Bioinformatics, Yale University, New Haven, CT, USA

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For correspondence: [email protected]

Anna Konstorum

2Department of Pathology, Yale School of Medicine, New Haven, CT, USA

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Shrikant Pawar

3Department of Genetics, Yale Center for Genomic Analysis (YCGA), Yale School of Medicine, New Haven, CT, USA

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Edel Aron

1Program in Computational Biology & Bioinformatics, Yale University, New Haven, CT, USA

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Steven H. Kleinstein

1Program in Computational Biology & Bioinformatics, Yale University, New Haven, CT, USA

2Department of Pathology, Yale School of Medicine, New Haven, CT, USA

4Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA

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Leying Guan

5Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA

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For correspondence: [email protected]

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Posted September 27, 2023.

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A supervised Bayesian factor model for the identification of multi-omics signatures

Jeremy P. Gygi, Anna Konstorum, Shrikant Pawar, Edel Aron, Steven H. Kleinstein, Leying Guan

bioRxiv 2023.01.25.525545; doi: https://doi.org/10.1101/2023.01.25.525545

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A supervised Bayesian factor model for the identification of multi-omics signatures

Jeremy P. Gygi, Anna Konstorum, Shrikant Pawar, Edel Aron, Steven H. Kleinstein, Leying Guan

bioRxiv 2023.01.25.525545; doi: https://doi.org/10.1101/2023.01.25.525545

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