In photo-activation localization microscopy (PALM and FPALM) [ 7, 9] or stochastic optical reconstruction microscopy (STORM and dSTORM) [ 8, 10], only a sparse, stochastic subset of fluorophores is active in a certain time interval.
This template/assign strategy is flexible, as templates can be produced from single samples to establish a master template; combinations of samples to produce a consensus template; or stochastic subsets of cells to optimize run times and the sensitivity of detection of small clusters.
Thus, the sensitivity of discovering very small clusters can be increased by combining samples, or reduced by taking stochastic subsets of samples.
The first stage implements a novel approach, called stochastic subset optimization (SSO), for iteratively identifying a subset of the original design space that has high plausibility of containing the optimal design variables.
A recently developed algorithm, called Stochastic Subset Optimization (SSO), is adopted for solution of the associated optimization problem.
A stochastic ground motion model is utilized to characterize the seismic hazard, and an efficient stochastic optimization approach, called non-parametric stochastic subset optimization, is adopted for performing the associated design optimization.
In the stochastic mode, a representative subset of this structure set is constructed.
Importantly, however, a "productive" subset of stochastic outcomes appears to be selected for, as methylation patterns in cancer often resemble patterns of other normal tissues.
Taken together this argues for a dynamic association of Xist RNA foci with stochastic binding to a subset of potential chromatin binding sites at a given point in time, rather than to a deterministic stable association at specific sites.
Data are shown as mean ± S.D. DOI: http://dx.doi.org/10.7554/eLife.08964.010 The proposed mechanism for Pcdhg-dependent S/NSD is that the stochastic expression of a subset of Pcdhg isoforms endows each SAC with a unique molecular identity that circumvents Pcdhg-dependent avoidance, allowing neighboring SACs to interact (Lefebvre et al., 2012).
