DLS5-Omics/CellNavi
CellNavi is a deep learning framework designed to predict genes driving cellular transitions.
This project helps biological researchers identify the specific genes responsible for driving changes in cell behavior and state. It takes high-dimensional single-cell transcriptomic data, along with existing knowledge of gene relationships, to predict key genes that control cellular transitions. The output highlights potential gene targets, master regulators, or disease drivers, which can be used by scientists working in drug discovery, disease research, or genetic engineering.
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Use this if you need to pinpoint specific genes that initiate or regulate cellular changes, such as identifying targets for CRISPR experiments or understanding disease mechanisms from single-cell data.
Not ideal if you lack access to NVIDIA GPUs or are working with data modalities other than single-cell transcriptomics.
Stars
46
Forks
7
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 04, 2025
Commits (30d)
0
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