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DECONVersation is a tool designed for the deconvolution of bulk RNA-seq data using embeddings derived from large-scale, LLM-based foundation models. DECONVersation produces robust cell type proportions by leveraging these high-dimensional embeddings to mitigate batch effects typi
pip install deconversation
PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.
DECONVersation publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .