SANDPUMA: ensemble predictions of nonribosomal peptide chemistry reveal biosynthetic diversity across Actinobacteria. - Marc G. Chevrette; Fabian Aicheler; Oliver Kohlbacher; Cameron R. Currie; Marnix H. Medema (Bioinform., 2017)

antiSMASH 4.0 - improvements in chemistry prediction and gene cluster boundary identification. - Kai Blin; Thomas Wolf 001; Marc G. Chevrette; Xiaowen Lu; Christopher J. Schwalen; Satria A. Kautsar; Hernando G. Suarez Duran; Emmanuel L. C. de los Santos; Hyun Uk Kim; Mariana Nave; Jeroen S. Dickschat; Douglas A. Mitchell; et al. (Nucleic Acids Res., 2017)

Ten Quick Tips for Deep Learning in Biology. - Benjamin D. Lee; Anthony Gitter; Casey S. Greene; Sebastian Raschka; Finlay Maguire; Alexander J. Titus; Michael D. Kessler; Alexandra J. Lee; Marc G. Chevrette; Paul Allen Stewart; Thiago Britto-Borges; Evan M. Cofer; et al. (CoRR, 2021)

High Dimensional Stochastic Linear Contextual Bandit with Missing Covariates. - Byoungwook Jang; Julia Nepper; Marc G. Chevrette; Jo Handelsman; Alfred O. Hero III (MLSP, 2022)

Ten quick tips for deep learning in biology. - Benjamin D. Lee; Anthony Gitter; Casey S. Greene; Sebastian Raschka; Finlay Maguire; Alexander J. Titus; Michael D. Kessler; Alexandra J. Lee; Marc G. Chevrette; Paul Allen Stewart; Thiago Britto-Borges; Evan M. Cofer; et al. (PLoS Comput. Biol., 2022)

A Graphical Model for Fusing Diverse Microbiome Data. - Mehmet Aktukmak; Haonan Zhu; Marc G. Chevrette; Julia Nepper; Shruthi Magesh; Jo Handelsman; Alfred O. Hero III (IEEE Trans. Signal Process., 2023)

MIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters. - Barbara R. Terlouw; Kai Blin; Jorge C. Navarro-Muñoz; Nicole E. Avalon; Marc G. Chevrette; Susan Egbert; Sanghoon Lee; David Meijer; Michael J. Recchia; Zachary L. Reitz; Jeffrey A. van Santen; Nelly Sélem-Mojica; et al. (Nucleic Acids Res., 2023)