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bioc
Scale4C:Scale4C: an R/Bioconductor package for scale-space transformation of 4C-seq data
Scale4C is an R/Bioconductor package for scale-space transformation and visualization of 4C-seq data. The scale-space transformation is a multi-scale visualization technique to transform a 2D signal (e.g. 4C-seq reads on a genomic interval of choice) into a tesselation in the scale space (2D, genomic position x scale factor) by applying different smoothing kernels (Gauss, with increasing sigma). This transformation allows for explorative analysis and comparisons of the data's structure with other samples.
Maintained by Carolin Walter. Last updated 5 months ago.
visualizationqualitycontroldataimportsequencingcoverage
3.30 score 1 scripts
cran
SpatialVx:Spatial Forecast Verification
Spatial forecast verification refers to verifying weather forecasts when the verification set (forecast and observations) is on a spatial field, usually a high-resolution gridded spatial field. Most of the functions here require the forecast and observed fields to be gridded and on the same grid. For a thorough review of most of the methods in this package, please see Gilleland et al. (2009) <doi: 10.1175/2009WAF2222269.1> and for a tutorial on some of the main functions available here, see Gilleland (2022) <doi: 10.5065/4px3-5a05>.
Maintained by Eric Gilleland. Last updated 4 months ago.
1 stars 1.00 score