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Analyzing Large Microbiome Datasets Using Machine Learning and Big Data
2021
BioMedInformatics
Metagenomics promises to provide new valuable insights into the role of microbiomes in eukaryotic hosts such as humans. Due to the decreasing costs for sequencing, public and private repositories for human metagenomic datasets are growing fast. Metagenomic datasets can contain terabytes of raw data, which is a challenge for data processing but also an opportunity for advanced machine learning methods like deep learning that require large datasets. However, in contrast to classical machine
doi:10.3390/biomedinformatics1030010
fatcat:yctuneamu5blfbi4243xu2d6ci