Using interpretable machine learning to understand gene silencing dynamics 
during X-chromosome inactivation

Barros de Andrade e Sousa, Lisa

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Using interpretable machine learning to understand gene silencing dynamics during X-chromosome inactivation

Barros de Andrade e Sousa, L. (2020). Using interpretable machine learning to understand gene silencing dynamics during X-chromosome inactivation. PhD Thesis.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-8995-5 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-8997-3

Genre: Thesis

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Creators:
Barros de Andrade e Sousa, Lisa^{1, 2}, Author

Affiliations:
1Regulatory Networks in Stem Cells (Edda G. Schulz), Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_2117286
2Freie Universität, Berlin, ou_persistent22

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Language(s): eng - English

Dates: Accepted: 2020-12-18

Publication Status: Accepted / In Press

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Degree: PhD

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