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

• Published in: BMC Bioinformatics
• Main Authors: Rudar, Josip, Porter, Teresita M., Wright, Michael, Golding, G. Brian, Hajibabaei, Mehrdad
• Format: Text
• Language: English
• Published: BioMed Central 2022
• Subjects: Research; Wood Buffalo; Wood Buffalo National Park
• Online Access: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969335/; https://doi.org/10.1186/s12859-022-04631-z

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. Noise, algor...