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bioc
diffcyt:Differential discovery in high-dimensional cytometry via high-resolution clustering
Statistical methods for differential discovery analyses in high-dimensional cytometry data (including flow cytometry, mass cytometry or CyTOF, and oligonucleotide-tagged cytometry), based on a combination of high-resolution clustering and empirical Bayes moderated tests adapted from transcriptomics.
Maintained by Lukas M. Weber. Last updated 2 months ago.
immunooncologyflowcytometryproteomicssinglecellcellbasedassayscellbiologyclusteringfeatureextractionsoftware
20 stars 9.98 score 225 scripts 5 dependents
bozenne
lavaSearch2:Tools for Model Specification in the Latent Variable Framework
Tools for model specification in the latent variable framework (add-on to the 'lava' package). The package contains three main functionalities: Wald tests/F-tests with improved control of the type 1 error in small samples, adjustment for multiple comparisons when searching for local dependencies, and adjustment for multiple comparisons when doing inference for multiple latent variable models.
Maintained by Brice Ozenne. Last updated 9 months ago.
inferencelatent-variable-modelsstatisticsopenblascpp
4.59 score 155 scripts