Non-Negative Matrix Factorization in the Genetic Interaction Data
Epistatic miniarrary profile (EMAP) has been used in many model organisms,resulting in a mount of high throughout data and the genetic interaction networks.But how to exploit meaningful information under these data efficiently is one important problem.In this paper,we propose the non-negative matrix factorization (NMF) to cluster the genetic interaction data,in order to find the hidden functional modular and then analysis the relationships among different genes.
NETL
NSTL
万方数据
维普
