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Finally, biological processes can span different time scales ranging from seconds to days. ... Mathematical modeling of biological systems together with quantitative biochemical and cell biological analyses allow deep insights into the often complex molecular interconnections within a biological ... We further combine the set-based framework with classification methods, which allows to stratify a patient cohort into risk categroies for developing inflammatory diseases based on data from the short-term ...doi:10.25673/32467 fatcat:5ir6ks7cjrf2no3dk5xbsfum5a
Computed by a method called ASTRICS, it is based on local dimensionality reduction and triangulation of alpha shapes. ... Cluster analysis of CyTOF data is important for understanding heterogeneity in biological cell populations, which has clinical implications in cancer biology. ... Classification of the molecular subtype of a cancer patient by gene expression profiling often determines their course of therapy, therefore definition of subtypes is clinically important. ...doi:10.14288/1.0401098 fatcat:fov7ukxqdvfrhh56dsutb2sdn4
They use the same technology as IBM's ink-jet printer from 50 years ago, high dimensional and high throughput, measuring the intensity of the fluorescence (proportional to the number of certain proteins ... Nowé, "Hypervolume-based Multi-Objective Reinforcement Learning," in Proc. of the 7th Int'l Conf. on Evolutionary Multi-Criterion Optimization (EMO'13), LNCS, Vol. 7811, pp. 352-366, Springer, 2013. ... Almeida Andreas Dress Titus Kühne Laxmi Parida License Creative Commons BY 3.0 Unported license © The Stratification of Disease into Discrete Subtypes and its Implications for Science, 'Medical ...fatcat:iz3co5xisfejfbnx2t6ptrorfm
Funding: Supported by a grant from the NIH (DK064540). Data generated for Fig. ... This work was supported in part by grants from the NIH (DK70977 and DK30292) and the Crohn's and Colitis Foundation of America. ... perturbation may be strongly impacted by the functional classification of the genes involved. ...doi:10.7936/k7j964hz fatcat:pgyeskypxfdc5kf3bcli2zkyly