TY  - GEN
AU  - Urda, D.
AU  - Montes-Torres, J.
AU  - Moreno, F.
AU  - Franco, L.
AU  - Jerez, J. M.
AU  - Rojas, I
AU  - Joya, G
AU  - Catala, A
PY  - 2017
DO  - 10.1007/978-3-319-59147-6_5
SN  - 978-3-319-59146-9
SN  - 0302-9743
UR  - http://hdl.handle.net/10668/18619
T2  - Advances in computational intelligence, iwann 2017, pt ii
AB  - Deep learning models are currently being applied in several areas with great success. However, their application for the analysis of high-throughput sequencing data remains a challenge for the research community due to the fact that this family of...
LA  - en
PB  - Springer international publishing ag
KW  - Deep learning
KW  - RNA-Seq
KW  - Personalized medicine
KW  - Machine Learning
KW  - Biomarkers discovery
TI  - Deep Learning to Analyze RNA-Seq Gene Expression Data
TY  - conference paper
VL  - 10306
ER  -