LANDMark: an ensemble approach to the supervised selection of biomarkers in high-throughput sequencing data

• Published in: BMC Bioinformatics
• Main Authors: Josip Rudar, Teresita M. Porter, Michael Wright, G. Brian Golding, Mehrdad Hajibabaei
• Format: Article in Journal/Newspaper
• Language: English
• Published: BMC 2022
• Subjects: Biomarker selection; Metagenomics; Metabarcoding; Biomonitoring; Ecological assessment; Machine learning; Computer applications to medicine. Medical informatics; R858-859.7; Biology (General); QH301-705.5; Wood Buffalo; Wood Buffalo National Park
• Online Access: https://doi.org/10.1186/s12859-022-04631-z; https://doaj.org/article/4183141caf7345e8819f245225b26824

Abstract Background Identification of biomarkers, which are measurable characteristics of biological datasets, can be challenging. Although amplicon sequence variants (ASVs) can be considered potential biomarkers, identifying important ASVs in high-throughput sequencing datasets is challenging. Nois...