TY  - JOUR 
AU  - Castillo Secilla, Daniel
AU  - Gálvez Gómez, Juan Manuel
AU  - Herrera Maldonado, Luis Javier
AU  - San Román Arenas, Belén
AU  - Rojas Ruiz, Fernando
AU  - Rojas Ruiz, Ignacio
PY  - 2017
SN  - 1471-2105
UR  - http://hdl.handle.net/10481/49668
AB  - Background: Nowadays, many public repositories containing large microarray gene expression datasets are
available. However, the problem lies in the fact that microarray technology are less powerful and accurate than more
recent Next Generation...
LA  - eng
PB  - Biomed Central
KW  - RNA-Seq
KW  - Microarray
KW  - Breast cancer
KW  - Cancer
KW  - SVM
KW  - Random Forest
KW  - K-NN
KW  - Gene expression
KW  - Classification
KW  - Integration
TI  - Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling
DO  - 10.1186/s12859-017-1925-0
ER  -