%0 Thesis %1 geissen2017statistical %A Geissen, Eva-Maria %C Stuttgart %D 2017 %K diss oa phsimtech ubs_10007 ubs_20011 ubs_30113 unibibliografie %R 10.18419/opus-9845 %T A statistical and mechanistic, model-based analysis of spindle assembly checkpoint signalling

@phdthesis{geissen2017statistical, added-at = {2019-10-31T17:33:25.000+0100}, address = {Stuttgart}, author = {Geissen, Eva-Maria}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2712f9b934854e314018427512a54e582/unibiblio-3}, doi = {10.18419/opus-9845}, eventdate = {2017-05-05}, interhash = {2b873c667010d71b3c6b8f6580807b08}, intrahash = {712f9b934854e314018427512a54e582}, keywords = {diss oa phsimtech ubs_10007 ubs_20011 ubs_30113 unibibliografie}, language = {eng}, school = {Universität Stuttgart}, supervisor = {Radde, Nicole}, supervisorgnd = {1058716085}, timestamp = {2020-07-24T07:28:40.000+0200}, title = {A statistical and mechanistic, model-based analysis of spindle assembly checkpoint signalling}, type = {Dissertation}, year = 2017 }