The mxnorm package for removing slide-to-slide variation in multiplexed imaging data
Basic example | Loading in data | Creating the S3 object with mx_dataset() | Normalization with mx_normalize() | Otsu discordance scores with run_otsu_discordance() | UMAP dimension reduction with run_reduce_umap() | Variance components analysis with run_var_proportions() | Basic example overview | Package overview | User-defined normalization | Using different thresholding algorithms | User-defined random effects modeling | Methodology background | ComBat | Mathematical background of the ComBat algorithm | Existing implementations of ComBat | The mxnorm implementation of ComBat | Functional data registration | Mathematical background of fda registration | Existing implementations of registration | The mxnorm implementation of fda registration | Evaluation framework | Alignment of marker densities | Threshold discordance and accuracy | Proportions of variance | UMAP embedding | References