Fernando Fraternali

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

1 Article

Abstract P2-10-29: Time dependent breast cancer metastasis prediction using novel biological imaging, clinico-pathological and genomic data combined with Bayesian modeling to reduce over-fitting and improve on inter-cohort reproducibility.
Sheeba, I., Kelleher, M., Lawler, K., Festy, F., Barber, P., Shamill, E., Gargi, P., Weitsman, G., Barrett, J., Fruhwirth, G., Huang, L., Tullis, I., Woodman, N., Pinder, S., Ofo, E., Fernandes, L., Beutler, M., Ameer-Beg, S., Holmberg, L. & Purushotham, A. & 8 others, Fraternali, F., Condeelis, J., Hanby, A., Gillett, C., Ellis, P., Vojnovic, B., Coolen, A. & Ng, T., 1 Dec 2012, In: Cancer Research. 72, 24 Supplement, p. P2-10-29-P2-10-29
Research output: Contribution to journal › Article › peer-review

Fernando Fraternali

Personal profile

Expertise related to UN Sustainable Development Goals

Research output

Abstract P2-10-29: Time dependent breast cancer metastasis prediction using novel biological imaging, clinico-pathological and genomic data combined with Bayesian modeling to reduce over-fitting and improve on inter-cohort reproducibility.