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Module alg

Module alg 

Source

Modules§

batch_mixing
Spread batches across cell states.
bhc
Bayesian Hierarchical Clustering over K clusters with gene-mass sufficient stats.
cell_pairs
Cell-cell interaction counts: a graph over cells paired with the counts those cells came from.
collapse_data
dc_poisson
Degree-corrected Poisson refinement core.
feature_coarsening
Grouping features so a model answers for a group instead of each feature.
gene_weighting
Per-gene weighting helpers used by reporting / annotation pipelines.
hvg
Highly-variable-gene (HVG) selection.
nb_dispersion
Mean-variance trend fit for Negative-Binomial count data.
normalization
pseudobulk
random_projection
refine_mixed
Cross-individual likelihood refinement of mixed pseudobulk groups.
refine_multilevel
BBKNN-based Poisson refinement over multi-level pb-sample partitions.
retrieval_impute
Retrieval-based imputation: pool a sparse reference’s full-feature counts onto query cells matched in a shared latent space.
sparse_streaming
Lock-free parallel streaming pass over a SparseIoVec that yields a merged SparseRunningStatistics<f32>.
union_find
Disjoint-set union (DSU) with union-by-rank and path halving.