MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
Dana Pe'er and Aviv Regev and Amos Tanay

MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals.pdf 395.93kB
Type: Paper
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
Compute download stats
Related Torrents
Report
Send Feedback Start
   0.000008
DB Connect
   0.000645
Lookup hash in DB
   0.000522
Get torrent details
   0.000162
Get torrent details, finished
   0.000285
Get authors
   0.000001
Select authors
   0.000210
Parse bibtex
   0.000152
Write header
   0.000518
get stars
   0.000159
home tab
   0.000169
render right panel
   0.000005
render ads
   0.000556
fetch current hosters
   0.000302
related datasets
   0.001155
Done