Publishing date: 2020-02-07
Published on: PLOS ONE
summary: None
authors: Florian Katzmeier, Lukas Aufinger, Aurore Dupin, Jorge Quintero, Matthias Lenz, Ludwig Bauer, Sven Klumpe, Dawafuti Sherpa, Benedikt Dürr, Maximilian Honemann, Igor Styazhkin, Friedrich C.
Publishing date: 2020-02-07
Published on: PLOS ONE
summary: None
authors: Sarah H. Needs, Tai The Diep, Stephanie P. Bull, Anton Lindley-Decaire, Partha Ray, Alexander D. Edwards
link to paper: 10.1371/journal.pone.0224878
Publishing date: 2020-02-07
Published on: PLOS ONE
summary: None
authors: Michael S. Bono Jr., Sydney Beasley, Emily Hanhauser, A. John Hart, Rohit Karnik, Chintan Vaishnav
link to paper: 10.1371/journal.pone.0228140
Icons made by catkuro from www.
Publishing date: 2020-02-07
Published on: PLOS ONE
summary: None
authors: Benedict Diederich, Barbora Marsikova, Brad Amos, Rainer Heintzmann
link to paper: 10.1371/journal.pone.0227096
Icons made by catkuro from www.flaticon.com
Publishing date: 2020-02-03
Published on: PLOS ONE
summary: None
authors: Michael A. Spence, Hayley J. Bannister, Johnathan E. Ball, Paul J. Dolder, Christopher A. Griffiths, Robert B. Thorpe
link to paper: 10.
Publishing date: 2020-01-29
Published on: PLOS ONE
summary: None
authors: Michael W. Prairie, Seth H. Frisbie, K. Kesava Rao, Anyamanee H. Saksri, Shreyas Parbat, Erika J. Mitchell
link to paper: 10.
Publishing date: 2020-01-24
Published on: PLOS ONE
summary: None
authors: Chiwan Park, Ha-Myung Park, U. Kang
link to paper: 10.1371/journal.pone.0227032
Icons made by catkuro from www.flaticon.com
Publishing date: 2020-01-15
Published on: PLOS ONE
summary: None
authors: Hitesh Sapkota, Pradeep K. Murukannaiah, Yi Wang
link to paper: 10.1371/journal.pone.0226281
Icons made by catkuro from www.flaticon.com
Publishing date: 2020-01-15
Published on: PLOS ONE
summary: None
authors: Ivan Braga Campos, Todd J. Landers, Kate D. Lee, William George Lee, Megan R. Friesen, Anne C. Gaskett, Louis Ranjard
Publishing date: 2020-01-15
Published on: PLOS ONE
summary: Analysis of microbiome data involves identifying co-occurring groups of taxa associated with sample features of interest such as disease state. A key challenge in this is the composition and dimensionality of microbiome data.