07/07/2017 @ 09:10-09:40
Retreat Research Talk by Marzia Cremona
Functional data analysis testing and linear modeling for high-resolution “omics” data 
1. Campos-Sánchez, R., Cremona, M.A., Pini, A., Chiaromonte, F. and Makova, K.D., 2016. Integration and fixation preferences of human and mouse endogenous retroviruses uncovered with functional data analysis. PLoS Comput Biol, 12(6), p.e1004956.
2. Cremona, M.A., Campos-Sánchez, R., Pini, A., Vantini, S., Makova, K.D. and Chiaromonte, F., 2017. Functional data analysis of “Omics” data: how does the genomic landscape influence integration and fixation of endogenous retroviruses?. In Functional Statistics and Related Fields (pp. 87-93). Springer, Cham.
3. Cremona, Pini, Chiaromonte, Vantini (2017). IWTomics: Interval-Wise Testing for Omics Data. R package version 1.0.0.
Marzia Cremona: Functional data analysis testing and linear modeling for high-resolution “omics” data