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Ruth E. Ley

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affiliation: Max Planck Institute for Biology Tübingen, Germany

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Journal Articles

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2023
[j5]
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  - journals/ploscb/MineevaDSLRY23
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  - https://dblp.org/rec/journals/ploscb/MineevaDSLRY23
Olga Mineeva, Daniel Danciu, Bernhard Schölkopf, Ruth E. Ley, Gunnar Rätsch, Nicholas D. Youngblut:
ResMiCo: Increasing the quality of metagenome-assembled genomes with deep learning. PLoS Comput. Biol. 19(5) (2023)
2022
[j4]
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  - journals/ploscb/RuaudPLY22
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  - https://dblp.org/rec/journals/ploscb/RuaudPLY22
Albane Ruaud, Niklas Pfister, Ruth E. Ley, Nicholas D. Youngblut:
Interpreting tree ensemble machine learning models with endoR. PLoS Comput. Biol. 18(12): 1010714 (2022)
2020
[j3]
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  - journals/bioinformatics/Cuesta-ZuluagaL20
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Jacobo de la Cuesta-Zuluaga, Ruth E. Ley, Nicholas D. Youngblut:
Struo: a pipeline for building custom databases for common metagenome profilers. Bioinform. 36(7): 2314-2315 (2020)
[j2]
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  - journals/bioinformatics/MineevaRLSY20
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Olga Mineeva, Mateo Rojas-Carulla, Ruth E. Ley, Bernhard Schölkopf, Nicholas D. Youngblut:
DeepMAsED: evaluating the quality of metagenomic assemblies. Bioinform. 36(10): 3011-3017 (2020)
2013
[j1]
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  - journals/ploscb/KorenKGWSKHL13
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Omry Koren, Dan Knight, Antonio González, Levi Waldron, Nicola Segata, Rob Knight, Curtis Huttenhower, Ruth E. Ley:
A Guide to Enterotypes across the Human Body: Meta-Analysis of Microbial Community Structures in Human Microbiome Datasets. PLoS Comput. Biol. 9(1) (2013)

Informal and Other Publications

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2019
[i1]
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  - journals/corr/abs-1901-11015
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Mateo Rojas-Carulla, Ilya O. Tolstikhin, Guillermo Luque, Nicholas D. Youngblut, Ruth E. Ley, Bernhard Schölkopf:
GeNet: Deep Representations for Metagenomics. CoRR abs/1901.11015 (2019)

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