A reproduction of the primer tutorial in deep learning genomics proposed in Nature Genetics (2018) in Pytorch.
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Updated
Apr 22, 2020 - Jupyter Notebook
A reproduction of the primer tutorial in deep learning genomics proposed in Nature Genetics (2018) in Pytorch.
RNA-seq analysis of glioma combination drug therapies
R package to Import and Modify SVG (XML) Graphic Files
The first GANs-based omics-to-omics translation framework
An python omics data toolkit for the analysis across biological scales
An R package for utilities to guide in-depth detection of circadian signals from omics time series data
A website for OpenProphetDB community.
A python package to explore pathways, diseases and drugs associated to a list of targets (genes, proteins, etc)
spatial RNA-seq analysis in Glioblastoma using Python
Penalized Semiparametric Bayesian Cox Models
Metabolic Drug Repurposing Pipeline
MicrobiomeStat Tutorial Repository: This is a comprehensive resource for learning how to use the MicrobiomeStat package. It provides a step-by-step guide to effectively analyze complex microbiome data.
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