TY  - GEN
DO  - 10.6083/NX9EZJ
DO  - DOI
T1  - Robust and reproducible classification of rare cellular subsets/signatures (RCS) in single-cell technologies within a transfer learning framework
DA  - 2018
AU  - Mahyari, Eisa
L1  - https://digitalcollections.ohsu.edu/record/3106/files/mahyari.eisa.2018.pdf
PY  - 2018
ID  - 3106
L4  - https://digitalcollections.ohsu.edu/record/3106/files/mahyari.eisa.2018.pdf
TI  - Robust and reproducible classification of rare cellular subsets/signatures (RCS) in single-cell technologies within a transfer learning framework
Y1  - 2018
L2  - https://digitalcollections.ohsu.edu/record/3106/files/mahyari.eisa.2018.pdf
LK  - https://digitalcollections.ohsu.edu/record/3106/files/mahyari.eisa.2018.pdf
UR  - https://digitalcollections.ohsu.edu/record/3106/files/mahyari.eisa.2018.pdf
ER  -