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