 MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals.pdf |
395.93kB |
Type: Paper
Metadata:
Tags:
Metadata:
@article{7:7,author={Dana Pe'er and Amos Tanay and Aviv Regev}, Title={MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals},journal={Journal of Machine Learning Research},volume={7}, url={http://www.jmlr.org/papers/volume7/peer06a/peer06a.pdf}}
Citation:
Pe'er, D., Regev, A., & Tanay, A.. (2014). MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals [Data set]. Academic Torrents. https://academictorrents.com/details/bb33c60ea59f55679d51c8070c51206265b93b09
