Marc G. Chevrette

According to our database, Marc G. Chevrette authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Thomas Tørring, Liana Zaroubi, Mohammad Alanjary, Gajender Aleti, César Aguilar, Suhad A. Al-Salihi, Hannah E. Augustijn, J. Abraham Avelar-Rivas, Luis A. Avitia-Domínguez, Francisco Barona-Gómez, Jordan Bernaldo-Agüero, Vincent A. Bielinski, Friederike Biermann, Thomas J. Booth, J. Carrion Bravo, Raquel Castelo-Branco, Fernanda O. Chagas, Pablo Cruz-Morales, Chao Du, Katherine R. Duncan, Athina Gavriilidou, Damien Gayrard, Karina Gutiérrez-García, Kristina Haslinger, Eric J. N. Helfrich, Justin J. J. van der Hooft, Afif P. Jati, Edward Kalkreuter, Nikolaos Kalyvas, Kyo Bin Kang, Satria A. Kautsar, Wonyong Kim, Aditya M. Kunjapur, Yong-Xin Li, Geng-Min Lin, Catarina Loureiro, Joris J. R. Louwen, Nico l L. Louwen, George Lund, Jonathan Parra, Benjamin Philmus, Bita Pourmohsenin, Lotte U. Pronk, Adriana Rego, Devasahayam Arokia Balaya Rex, Serina L. Robinson, L. Rodrigo Rosas-Becerra, Eve T. Roxborough, Michelle A. Schorn, Darren J. Scobie, Kumar Saurabh Singh, Nika Sokolova, Xiaoyu Tang, Daniel W. Udwary, Aruna Vigneshwari, Kristiina Vind, Sophie P. J. M. Vromans, Valentin Waschulin, Sam E. Williams, Jaclyn M. Winter, Thomas E. Witte, Huali Xie, Dong Yang, Jingwei Yu, Mitja Zdouc, Zheng Zhong, Jérôme Collemare, Roger G. Linington, Tilmann Weber, Marnix H. Medema

Nucleic Acids Res., January, 2023

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

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, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Brandon Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca

PLoS Comput. Biol., 2022

High Dimensional Stochastic Linear Contextual Bandit with Missing Covariates.

Byoungwook Jang, Julia Nepper, Marc G. Chevrette, Jo Handelsman, Alfred O. Hero III

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

2021

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, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Beth Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca

CoRR, 2021

2017

antiSMASH 4.0 - improvements in chemistry prediction and gene cluster boundary identification.

Kai Blin, Thomas Wolf, 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, Ekaterina Shelest, Rainer Breitling, Eriko Takano, Sang Yup Lee, Tilmann Weber, Marnix H. Medema

Nucleic Acids Res., 2017

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