Disease Classification in Metagenomics with 2D Embeddings and Deep Learning

no code implementations • 23 Jun 2018 • Thanh Hai Nguyen, Edi Prifti, Yann Chevaleyre, Nataliya Sokolovska, Jean-Daniel Zucker

Generally, when the sample size ($N$) is much bigger than the number of features ($d$), DL often outperforms other machine learning (ML) techniques, often through the use of Convolutional Neural Networks (CNNs).

Classification General Classification

Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks

no code implementations • 1 Dec 2017 • Thanh Hai Nguyen, Yann Chevaleyre, Edi Prifti, Nataliya Sokolovska, Jean-Daniel Zucker

However, in many bioinformatics ML tasks, we encounter the opposite situation where d is greater than N. In these situations, applying DL techniques (such as feed-forward networks) would lead to severe overfitting.