Identifying the minimum amplicon sequence depth to adequately predict classes in eDNA-based marine biomonitoring using supervised machine learning

Publication date: 2021Source: Computational and Structural Biotechnology Journal, Volume 19Author(s): Verena Dully, Thomas A. Wilding, Timo Mühlhaus, Thorsten Stoeck
Source: Computational and Structural Biotechnology Journal - Category: Biotechnology Source Type: research