Hidden Markov models for cell lineage trees
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Updated
Sep 2, 2026 - Python
Hidden Markov models for cell lineage trees
PARAFAC2 tensor factorization for multi-sample scRNA-seq
SESAME software tools for integrating Human - Earth System data
Collection of tensor factorization methods from the Meyer lab
Scalable GPU-accelerated PARAFAC2 implementation for single cell data
Shared repository of tensor-structured datasets
Multivalent binding model implemented in Python
Store and analyze scRNAseq data with extreme memory efficiency.
Bootstrap resampling tools for model uncertainty analysis
Partial least squares implementation within CMTF
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