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#ncrna — Public Fediverse posts

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  1. 🧬 Ready for AI to crack the RNA-disease code?

    🔗 GL4SDA: Predicting snoRNA-disease associations using GNNs and LLM embeddings. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.03

    📚 CSBJ: csbj.org/

    #AIinBiomedicine #GraphNeuralNetworks #LLM #ncRNA #snoRNA #CancerResearch #Bioinformatics #PrecisionMedicine #XAI #Genomics

  2. 🧬 Ready for AI to crack the RNA-disease code?

    🔗 GL4SDA: Predicting snoRNA-disease associations using GNNs and LLM embeddings. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.03

    📚 CSBJ: csbj.org/

    #AIinBiomedicine #GraphNeuralNetworks #LLM #ncRNA #snoRNA #CancerResearch #Bioinformatics #PrecisionMedicine #XAI #Genomics

  3. I’m happy to share our preprint
    “Flawed machine-learning confounds coding sequence annotation“
    doi.org/10.1101/2024.05.16.594
    A collaboration with @OtagoBiochemist and @plantandfood scientists @mikblacknz @TingHsuanTHC #Genomics #Bioinformatics #ncRNA #lncRNA #protein 1/n

  4. I’m happy to share our preprint
    “Flawed machine-learning confounds coding sequence annotation“
    doi.org/10.1101/2024.05.16.594
    A collaboration with @OtagoBiochemist and @plantandfood scientists @mikblacknz @TingHsuanTHC #Genomics #Bioinformatics #ncRNA #lncRNA #protein 1/n

  5. Our work to predict transcription of #ncRNA, especially for #eRNA, from DNA sequences is finally out in @[email protected].
    Our machine learning tool, MENTR, is available at github.com/koido/MENTR. MENTR can link non-coding #GWAS associations and cell-type-specific #ncRNA expressions!

    nature.com/articles/s41551-022

    This was my main work in @[email protected] lab in @[email protected]. Many thanks to excellent collaborators, amazing #FANTOM5 datasets, and GPU supercomputer #ABCI.