TY  - JOUR
AU  - Jimenez-Carretero, Daniel
AU  - Abrishami, Vahid
AU  - Fernandez-de-Manuel, Laura
AU  - Palacios, Irene
AU  - Quilez-Alvarez, Antonio
AU  - Diez-Sanchez, Alberto
AU  - del Pozo, Miguel Angel
AU  - Montoya, Maria
PY  - 2018
DO  - 10.1371/journal.pcbi.1006238
SN  - 1553-7358
UR  - http://hdl.handle.net/20.500.12105/7142
AB  - Toxicity is an important factor in failed drug development, and its efficient identification and prediction is a major challenge in drug discovery. We have explored the potential of microscopy images of fluorescently labeled nuclei for the prediction...
LA  - eng
TI  - Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screening
TY  - journal article
ER  -