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Showing 1 to 2 of 2 for “"Meta-genomics"”.

  1. Combining microbial functional metagenomics and Caenorhabditis elegans genetics to uncover and characterise novel bioactive compounds

    … produce a wide array of biologically active metabolites involved in defence strategies and pathogenesis against a range of metazoans target organisms. In return bacteriovorous metazoans, including nematodes, have developed sophisticated strategies to neutralise or avoid such bioactives. The …

    unsw Repository record for Combining microbial functional metagenomics and Caenorhabditis elegans genetics to uncover and characterise novel bioactive compounds (opens in a new tab)

  2. Resource-Efficient Machine Learning via Count-Sketches and Locality-Sensitive Hashing (LSH)

    Machine learning problems are increasing in complexity, so models are growing correspondingly larger to handle these datasets. (e.g., large-scale transformer networks for language modeling). The increase in the number of input features, model size, and output classification space is straining our …

    rice Repository record for Resource-Efficient Machine Learning via Count-Sketches and Locality-Sensitive Hashing (LSH) (opens in a new tab)