GenomeNet/deepG
DeepG, or 'Deep Genomics', is a R library which allows to train and apply deep neural networks on genomic datasets
This tool helps biologists and advanced AI researchers develop bioinformatical tools for tasks like classifying genetic sequences or detecting homologies. It takes raw genomic data (like FASTA/FASTQ files) and processes it to train deep neural networks, ultimately producing models that can make predictions or classify new genomic sequences. Researchers who work with large genomic datasets and need to apply machine learning to them would find this useful.
Use this if you are a biologist or AI researcher who needs to build, train, and evaluate deep neural networks using large genomic datasets for tasks like sequence classification.
Not ideal if you are not comfortable working with R and deep learning frameworks, or if your primary focus is not on genomic data analysis.
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28
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7
Language
R
License
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Category
Last pushed
Nov 18, 2025
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