synthetic networks / cancer network / static networks / obvious solutions / cellular networks / normal network / reverse engineering algorithm / incomplete network / normal networks / static solutions / gene dependency networks / approximate learning algorithm / large networks / dynamic programming algorithm / inferred networks / molecular networks / regulatory networks / inferred cancer network / dense networks / synthetic network / cancer gene network / normal gene network / partial network / given network / time varying networks / lung cancer networks / normal gene networks / human small cell lung cancer network / transcriptional regulatory networks / genetic network / static gene networks / genetic networks / biological networks / acyclic networks / protein interaction network / interaction networks / sample networks / inferred tumor network / gene regulatory networks / social networks / cell lung cancer network / sparse networks / web graphs / correct networks / cancer networks / inferred normal network / gene networks / prototype network / /
Organization
National Academy of Sciences / Kyoto University / Tatsuya Akutsu Bioinformatics Center / Institute for Chemical Research / /
Person
Natsu Nakajima / Tatsuya Akutsu / /
Position
Academic Editor / model of network completion / /
Product
Advances / DREAM4 / /
PublishedMedium
The Scientific World Journal / Proceedings of the National Academy of Sciences / Nature Medicine / Journal of Machine Learning Research / Nucleic Acids Research / Nature Protocols / /
Network Completion for Static Gene Expression Data