%0 Conference Paper %1 conf/recomb/NessSMV17 %A Ness, Robert Osazuwa %A Sachs, Karen %A Mallick, Parag %A Vitek, Olga %B RECOMB %D 2017 %E Sahinalp, Süleyman Cenk %K dblp %P 134-156 %T A Bayesian Active Learning Experimental Design for Inferring Signaling Networks. %U http://dblp.uni-trier.de/db/conf/recomb/recomb2017.html#NessSMV17 %V 10229 %@ 978-3-319-56970-3

@inproceedings{conf/recomb/NessSMV17, added-at = {2024-05-07T00:00:00.000+0200}, author = {Ness, Robert Osazuwa and Sachs, Karen and Mallick, Parag and Vitek, Olga}, biburl = {https://www.bibsonomy.org/bibtex/25878d804f81bf664f39945f1f3c4996b/dblp}, booktitle = {RECOMB}, crossref = {conf/recomb/2017}, editor = {Sahinalp, Süleyman Cenk}, ee = {https://doi.org/10.1007/978-3-319-56970-3_9}, interhash = {ecf5892da2403ebd02cd20df070b103f}, intrahash = {5878d804f81bf664f39945f1f3c4996b}, isbn = {978-3-319-56970-3}, keywords = {dblp}, pages = {134-156}, series = {Lecture Notes in Computer Science}, timestamp = {2024-05-13T08:15:40.000+0200}, title = {A Bayesian Active Learning Experimental Design for Inferring Signaling Networks.}, url = {http://dblp.uni-trier.de/db/conf/recomb/recomb2017.html#NessSMV17}, volume = 10229, year = 2017 }