1. Structure selection Select and/or deselect all, (tissue) classes clusters, classes, groups, individual structures, and/or left, right or both sides (during 3D scene compositing and/or decompositing operations).
Appropriate selection of covariates is pertinent to correct variance modeling and selecting the appropriate covariates and variance function is vital to correlation structure selection.
Thus, two structures from the unrestrained CG simulations (one structure representing State 1 and the other, State 2; see Supporting Information for details of the structure selection method) and also two structures from the NMR-based CG simulations were selected.
D.A.K., J.Y., T.C. and S.T.D. constructed the structure selection dataset.
Our structure selection results highlight the difficulty of reliable structure prediction by first-principles calculations.
A distance dependent atomic knowledge-based potential for improved protein structure selection.
Kitchaev, D. A. & Ceder, G. Evaluating structure selection in the hydrothermal growth of FeS2 pyrite and marcasite.
Petrick, M.H., Wigdorowitz, B. "A priori nonlinear model structure selection for system identification," Control Engineering Practice, vol.5, no.8, pp.1053-1062.
Zhou, H. & Zhou, Y. Distance scaled, finite ideal-gas reference state improves structure-derived potentials of mean force for structure selection and stability prediction.
