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Author:
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Summary:
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 typically present in single-cell reference signature matrices.
Latest version:
0.0.1
Required dependencies:
anndata
|
datasets
|
matplotlib
|
numpy
|
pandas
|
peft
|
scanpy
|
scikit-learn
|
scipy
|
seaborn
|
torch
|
tqdm
|
transformers
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