PyPI page
Home page
Author:
Ali Oku
License:
MIT License
Copyright (c) 2026 DECONVersation
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated doc...
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 eschew explicit marker selection and mitigate batch effects typically present in single-cell reference signature matrices.
Latest version:
0.1.0
Required dependencies:
anndata
|
datasets
|
importlib-resources
|
matplotlib
|
numpy
|
pandas
|
peft
|
scanpy
|
scikit-learn
|
scipy
|
seaborn
|
torch
|
tqdm
|
transformers
Optional dependencies:
pytest
|
pytest-cov
Downloads last day:
0
Downloads last week:
9
Downloads last month:
242
7-day smoothing