07/18/2017 @ 09:15-10:00
Research Talk by Jo Hardin
Prediction intervals for random forests with applications to high throughput data 
1. Chen, X. and Ishwaran, H., 2012. Random forests for genomic data analysis. Genomics, 99(6), pp.323-329.
2. Pang, H., Lin, A., Holford, M., Enerson, B.E., Lu, B., Lawton, M.P., Floyd, E. and Zhao, H., 2006. Pathway analysis using random forests classification and regression. Bioinformatics, 22(16), pp.2028-2036.
3. Zhang, J., Hadj-Moussa, H. and Storey, K.B., 2016. Current progress of high-throughput microRNA differential expression analysis and random forest gene selection for model and non-model systems: an R implementation. Journal of Integrative Bioinformatics, 13(5), p.306.
Jo Hardin | Prediction intervals for random forests with applications to high throughput data | CGSI 2017