Reply to: Examining microbe-metabolite correlations by linear methods

Affiliations

• ¹ Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA.
• ² Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA.
• ³ Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA.
• ⁴ Collaborative Mass Spectrometry Innovation Center, University of California, San Diego, La Jolla, CA, USA.
• ⁵ Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA.
• ⁶ Department of Information Systems, University of Maryland-Baltimore County, Baltimore, MD, USA.
• ⁷ Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA.
• ⁸ Department of Biology, New York University, New York, NY, USA.
• ⁹ Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
• ¹⁰ DOE Joint Genome Institute, Walnut Creek, CA, USA.
• ¹¹ Jacobs School of Engineering, University of California, San Diego, La Jolla, CA, USA.
• ¹² The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
• ¹³ Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA.
• ¹⁴ Flatiron Institute, Simons Foundation, New York, NY, USA.
• ¹⁵ Department of Computer Science, Courant Institute, New York, NY, USA.
• ¹⁶ Center for Data Science, New York University, New York, NY, USA.
• ¹⁷ Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA. rknight@ucsd.edu.
• ¹⁸ Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA. rknight@ucsd.edu.
• ¹⁹ Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA. rknight@ucsd.edu.
• ²⁰ Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA. rknight@ucsd.edu.