AggMapNet: enhanced and explainable low-sample omics deep learning with feature-aggregated multi-channel networks.
Sign Up to like & getrecommendations! Published in 2022 at "Nucleic acids research"
DOI: 10.1093/nar/gkac010
Abstract: Omics-based biomedical learning frequently relies on data of high-dimensions (up to thousands) and low-sample sizes (dozens to hundreds), which challenges efficient deep learning (DL) algorithms, particularly for low-sample omics investigations. Here, an unsupervised novel feature… read more here.
Keywords: low sample; deep learning; sample omics; feature ... See more keywords