jst-seminar-rostlab-tum/genomics.ai
a web application to annotate and visualise single-cell sequencing data using neural networks
This web application helps researchers in fields like cancer research to interpret their single-cell sequencing data. You upload raw single-cell annotation data, and the platform uses neural networks to analyze and visualize it, producing an interactive UMAP visualization. It's designed for scientists and researchers who work with genomic data and need to quickly understand cell populations and characteristics.
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Use this if you have single-cell sequencing data and need an easy way to annotate and visualize cell populations using machine learning.
Not ideal if you need highly customized or local data processing outside of a web application.
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8
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Language
JavaScript
License
MIT
Category
Last pushed
Aug 25, 2022
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