Competing risk regression was used to identify factors associated with LF. Results 78 pts met eligibility criteria and 133 lesions were treated. 35 pts (44.9%) were alive at time of analysis. Median clinical follow-up (fu) time was 27.9 months (mos) (15.1 mos for single fx and 40.4 mos...
ThesusieRpackage implements a simple new way to perform variable selection in multiple regression (y=Xb+e). The methods implemented here are particularly well-suited to settings where some of the X variables are highly correlated, and the true effects are highly sparse (e.g. <20 non-zero ef...
The linear regression for depth estimates in Eq. (2) is performed using the Levenberg-Marquardt algorithm implemented in the SciPy package56. The total computation time required for the pop-out 3D metrology reconstruction is based on the search space of the CTF fitting, TEM image size, window ...
Our results establish CellTag-multi as a lineage-tracing method compatible with multiple single-cell modalities and demonstrate its utility in revealing fate-specifying gene regulatory changes across diverse paradigms of differentiation and reprogramming....
Gaussian process regression. In IEEE Conference on Computer Vision and Pattern Recognition, pages 449–456, 2011.3[18] K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learningfor image recognition. In IEEE Conference on ComputerVision and Pattern Recognition, pages 770–778, 2016. 1[...
We implemented geometric sketching to select a representative subset of cells from both multiple sclerosis case/control datasets. Sketches were constructed from the transcriptional landscape of the mature gene expression data (spliced or moments of spliced), with sketch sizes of approximately 20% of ...
(2017). Model-free and model-based active learning for regression. In Advances in computational intelligence systems, pp. 375–386. Springer Rifkin, R., Yeo, G., & Poggio, T. (2003). Regularized least-squares classification. Advances in Learning Theory: Methods, Model, and Applications, 190...
The SSD training objective is derived from the MultiBox objective [7,8] but is extended to handle multiple object categories.Let xpij= {1, 0} be an indicator for matching the i-th default box to the j-th ground truth box of category p.In the matching strategy above, we can have ∑...
[34] the authors emphasize the tendency of neighborhood approaches to overfit and formulate a more general map of example pairs using kernel ridge regression. The regression problem can also be solved with Gaussian process regression [26], trees [45] or Random Forests [46]. In Dai et al. [...
Furthermore, regression analysis also showed a significant relationship between SOX2 labeling index and total cellularity (Additional file 1: Figure S13C, r = 0.36, p = 0.02). These results support the findings from scRNA-Seq analysis and suggest that SOX2 is a promising tumor cell ...