cryo-ET workflow
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Updated
Sep 17, 2026 - Jupyter Notebook
cryo-ET workflow
HeteroGGM: an R package for Gaussian graphical model-based heterogeneity analysis
Gaussian Graphical Model-based Heterogeneity Analysis via Penalized Fusion
Multivariate Sparse Fusion
Bayesian hierarchical heterogeneity analysis using partial pooling with an application to customer segmentation (with pyMC in Ubuntu)
A maximum-likelihood-based deep learning method for estimating the conditional density, with an application to individualized treatment rule.
Reproducibility package analyzing whether financial liquidity buffers reduce foot-and-mouth disease–related income vulnerability among mixed-species smallholder farms in Samsun, Türkiye.
Maximum Entropy (MaxEnt) parameter inference in biological networks.
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