07/10/2017 @ 14:45-15:30
Research Talk by Dana Pe’er
Imputation in Single Cell RNA-seq Data 
1. van Dijk, D., Nainys, J., Sharma, R., Kathail, P., Carr, A.J., Moon, K.R., Mazutis, L., Wolf, G., Krishnaswamy, S. and Pe’er, D., 2017. MAGIC: A diffusion-based imputation method reveals gene-gene interactions in single-cell RNA-sequencing data. bioRxiv, p.111591.
2. Prabhakaran, S., Azizi, E. and Pe’er, D., 2016. Dirichlet process mixture model for correcting technical variation in single-cell gene expression data. In Proceedings of The 33rd International Conference on Machine Learning (pp. 1070-1079).
Dana Pe’er | Imputation in Single Cell RNA-seq Data | CGSI 2017