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eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research
Until date, several machine learning approaches have been proposed for the dynamic modeling of temporal omics data. Although they have yielded impressive results in terms of model accuracy and predictive ability, most of these applications are based on “Black-box” algorithms and more interpretable m...
সংরক্ষণ করুন:
| প্রকাশিত: | PLoS Comput Biol |
|---|---|
| প্রধান লেখক: | , , , , |
| বিন্যাস: | Artigo |
| ভাষা: | Inglês |
| প্রকাশিত: |
Public Library of Science
2020
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7176286/ https://ncbi.nlm.nih.gov/pubmed/32275707 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007792 |
| ট্যাগগুলো: |
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