Machine learning multi-omics analysis reveals cancer driver dysregulation in pan-cancer cell lines compared to primary tumors
Using a support vector machine learning approach and multi-omics data, dysregulation of key cancer driver pathways is revealed in cancer cell lines compared to primary tumors.
Bibliographic Details
| Main Authors: |
Lauren M. Sanders,
Rahul Chandra,
Navid Zebarjadi,
Holly C. Beale,
A. Geoffrey Lyle,
Analiz Rodriguez,
Ellen Towle Kephart,
Jacob Pfeil,
Allison Cheney,
Katrina Learned,
Rob Currie,
Leonid Gitlin,
David Vengerov,
David Haussler,
Sofie R. Salama,
Olena M. Vaske |
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| Format: | Article
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| Language: | English |
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| Published: |
Nature Portfolio
2022-12-01
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| Series: | Communications Biology
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| Online Access: | https://doi.org/10.1038/s42003-022-04075-4
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