Daniel Y Chu, Nagesh Adluru, Veena A Nair, Anusha Adluru, Timothy Choi, Alanna Kessler-Jones, Kevin Dabbs, Jiancheng Hou, Bruce Hermann, Vivek Prabhakaran, Raheel Ahmed
Application of data harmonization and tract-based spatial statistics reveals white matter structural abnormalities in pediatric patients with focal cortical dysplasia
Epilepsy & behavior : E&B
mechanistic models biological processes explain observed phenomena predict responses perturbation mathematical model typically constructed using expert knowledge informal reasoning generate mechanistic explanation given observation although approach works well simple systems abundant data wellestablished principles quantitative biology often faced dearth data knowledge process thus making challenging identify validate possible mechanistic hypothesis underlying system behavior overcome limitations introduce bayesian multimodel inference bayesmmi methodology quantifies mechanistic hypotheses explain given experimental datasets concurrently dataset informs given model hypothesis thus enabling hypothesis space exploration context available data demonstrate approach probe standing questions heterogeneity lineage plasticity cellcell interactions tumor growth mechanisms small cell lung cancer sclc integrate three datasets formulated different explanations tumor growth mechanisms sclc apply bayesmmi find data supports model predictions tumor evolution promoted high lineage plasticity rather expanding rare stemlike populations addition models predict presence cells associated sclcn sclca2 subtypes transition sclca subtype sclcy subtype intermediate decelerated together predictions provide testable hypothesis observed juxtaposed results sclc growth mechanistic interpretation tumor treatment resistance