This article "Machine learning analysis of RB-TnSeq fitness data predicts functional gene modules in Pseudomonas putida KT2440" is published in mSystems.

Author:⁠⁠ Andrew J. Borchert

Journal: mSystems

Year: 2024

Podcast type: Short

The authors are:

⦁ Andrew J. Borchert

⦁ Alissa C. Bleem

⦁ Hyun Gyu Lim

⦁ Kevin Rychel

⦁ Keven D. Dooley

⦁ Zoe A. Kellermyer

⦁ Tracy L. Hodges

⦁ Bernhard O. Palsson

⦁ Gregg T. Beckham

Affiliations:

Andrew J. Borchert, Alissa C. Bleem, Keven D. Dooley, Zoe A. Kellermyer, Tracy L. Hodges, Gregg T. Beckham, National Renewable Energy Laboratory, Golden, Colorado, USA

Alissa C. Bleem, Keven D. Dooley, Tracy L. Hodges, Gregg T. Beckham, Renewable and Sustainable Energy Institute, University of Colorado Boulder, Boulder, Colorado, USA

Andrew J. Borchert, Alissa C. Bleem, Gregg T. Beckham, Department of Chemistry, Colorado School of Mines, Golden, Colorado, USA

Hyun Gyu Lim, Kevin Rychel, Bernhard O. Palsson, Department of Bioengineering, University of California San Diego, La Jolla, California, USA

Hyun Gyu Lim, Bernhard O. Palsson, Systems Biology Research Group, University of California San Diego, La Jolla, California, USA

Hyun Gyu Lim, Bernhard O. Palsson, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark

Bernhard O. Palsson, Hyun Gyu Lim, Bioinformatics Research Center, University of California San Diego, La Jolla, California, USA