Robust and reproducible classification of rare cellular subsets/signatures (RCS) in single-cell technologies within a transfer learning framework

Robust and reproducible classification of rare cellular subsets/signatures (RCS) in single-cell technologies within a transfer learning framework Public Deposited

Creator	Eisa Mahyari
ORCID	0000-0002-5613-3131
Degree	Ph.D.
School	School of Medicine
Identifier	doi:10.6083/NX9EZJ
Date	2018
Document type	dissertation
Rights	In Copyright
Citation	Mahyari, E. "Robust and reproducible classification of rare cellular subsets/signatures (RCS) in single-cell technologies within a transfer learning framework" (2018). OHSU Digital Collections. https://doi.org/10.6083/NX9EZJ
License	Creative Commons BY Attribution 4.0 International

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In Administrative Set:	Default Admin Set

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