BioinformaticsbioRxivPreprint
Comparison of classification accuracy and feature selection between sparse and non-sparse modeling of metabolomics data
Arisa Toda, Misa Goudo, Masahiro Sugimoto…·Tomoyuki Hiroyasu
The paper compares classification accuracy and feature selection between sparse and non-sparse modeling of metabolomics data using serum lipidomic data from breast cancer patients.
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