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Joint analysis of gene expression levels and histological images identifies genes associated with tissue morphology

Jordan T. Ash, Gregory Darnell, Daniel Munro, Barbara E. Engelhardt
doi: https://doi.org/10.1101/458711
Jordan T. Ash
1Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America
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Gregory Darnell
2Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
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Daniel Munro
2Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
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Barbara E. Engelhardt
1Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America
3Center for Statistics and Machine Learning, Princeton University, Princeton, New Jersey, United States of America
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Posted October 31, 2018.
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Joint analysis of gene expression levels and histological images identifies genes associated with tissue morphology
Jordan T. Ash, Gregory Darnell, Daniel Munro, Barbara E. Engelhardt
bioRxiv 458711; doi: https://doi.org/10.1101/458711
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Joint analysis of gene expression levels and histological images identifies genes associated with tissue morphology
Jordan T. Ash, Gregory Darnell, Daniel Munro, Barbara E. Engelhardt
bioRxiv 458711; doi: https://doi.org/10.1101/458711

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