TY  - JOUR
AU  - Macías-García, Laura
AU  - Luna-Romera, José María
AU  - García-Gutiérrez, Jorge
AU  - Martínez-Ballesteros, María
AU  - Riquelme-Santos, José C
AU  - González-Cámpora, Ricardo
PY  - 2017
DO  - 10.1016/j.jbi.2017.06.020
UR  - http://hdl.handle.net/10668/11360
T2  - Journal of biomedical informatics
AB  - Breast cancer is the most common cause of cancer death in women. Today, post-transcriptional protein products of the genes involved in breast cancer can be identified by immunohistochemistry. However, this method has problems arising from the...
LA  - en
KW  - Autoencoder
KW  - Biomedical data
KW  - Breast cancer
KW  - Deep learning
KW  - Preprocessing
KW  - Breast Neoplasms
KW  - Female
KW  - Humans
KW  - Machine Learning
KW  - Neural Networks, Computer
KW  - Observer Variation
KW  - Prognosis
TI  - A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation.
TY  - research article
VL  - 72
ER  -