smoppix - Analyze Single Molecule Spatial Omics Data Using the Probabilistic Index
Test for univariate and bivariate spatial patterns in spatial omics data with single-molecule resolution. The tests implemented allow for analysis of nested designs and are automatically calibrated to different biological specimens. Tests for aggregation, colocalization, gradients and vicinity to cell edge or centroid are provided.
Last updated 1 months ago
transcriptomicsspatialsinglecellcpp
5.10 score 1 stars 4 scripts 91 downloadsoosse - Out-of-Sample R² with Standard Error Estimation
Estimates out-of-sample R² through bootstrap or cross-validation as a measure of predictive performance. In addition, a standard error for this point estimate is provided, and confidence intervals are constructed.
Last updated 6 months ago
4.30 score 4 stars 5 scripts 150 downloadspengls - Fit Penalised Generalised Least Squares models
Combine generalised least squares methodology from the nlme package for dealing with autocorrelation with penalised least squares methods from the glmnet package to deal with high dimensionality. This pengls packages glues them together through an iterative loop. The resulting method is applicable to high dimensional datasets that exhibit autocorrelation, such as spatial or temporal data.
Last updated 5 months ago
transcriptomicsregressiontimecoursespatial
4.00 score 4 scripts 190 downloads