ZILA-SRM: a probabilistic framework with zero-inflated latent models for robust strain reconstruction from metagenomes
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Resolving bacterial strain diversity from shotgun metagenomic data is fundamental to understanding intra-host evolution, transmission dynamics, and phenotypic heterogeneity. However, current probabilistic approaches face a severe "identifiability limit" when... ...
