Robust and reproducible classification of rare cellular subsets/signatures (RCS) in single-cell technologies within a transfer learning framework
2018
Files
Details
Title
Robust and reproducible classification of rare cellular subsets/signatures (RCS) in single-cell technologies within a transfer learning framework
Creator
Mahyari, Eisa
Date
2018
Content Type
Dissertation
Degree Type
Ph.D.
School
School of Medicine
Copyright Status
Usage Statement
Record ID
3106
Record Created
2023-06-29
Record Appears in
OHSU Works > Student Work > Degrees > Doctor of Philosophy (Ph.D.)
Organizations > Schools > School of Medicine
OHSU Works > Student Work > Dissertations
Theses and Dissertations
All Records
Organizations > Schools > School of Medicine
OHSU Works > Student Work > Dissertations
Theses and Dissertations
All Records