Jian Chen

This paper introduces AsMac, an alignment-free method for metagenomics sequence comparison, showing improved performance on variable-length sequences and handling insertions/deletions.

The paper develops sequence embeddings for 16S rRNA data to create numeric representations suitable for machine learning, showing they preserve biological information and perform well in downstream tasks.