Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering.
Saved in:
| Title: | Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering. |
|---|---|
| Authors: | Ullmann T; Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-Universität München, München, Germany.; Munich Center for Machine Learning (MCML), München, Germany., Peschel S; Institute for Asthma and Allergy Prevention, Helmholtz Zentrum München, Neuherberg, Germany.; Department of Statistics, Ludwig-Maximilians-Universität München, München, Germany., Finger P; Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-Universität München, München, Germany., Müller CL; Department of Statistics, Ludwig-Maximilians-Universität München, München, Germany.; Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.; Center for Computational Mathematics, Flatiron Institute, New York, New York, United States of America., Boulesteix AL; Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-Universität München, München, Germany.; Munich Center for Machine Learning (MCML), München, Germany. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2023 Jan 06; Vol. 19 (1), pp. e1010820. Date of Electronic Publication: 2023 Jan 06 (Print Publication: 2023). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1553-7358 |
|---|---|
| DOI: | 10.1371/journal.pcbi.1010820 |
