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Open Access
Peer-reviewed
Research Article
LogLoss-BERAF: An ensemble-based machine learning model for constructing highly accurate diagnostic sets of methylation sites accounting for heterogeneity in prostate cancer
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K. Babalyan ,
Roles Formal analysis, Methodology, Visualization, Writing – original draft
* E-mail: babalyan@phystech.edu
Affiliations Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian Federation, Moscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow Region, Russian Federation, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russian Federation
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R. Sultanov,
Roles Data curation, Methodology
Affiliations Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian Federation, Moscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow Region, Russian Federation, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russian Federation
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E. Generozov,
Roles Conceptualization, Data curation, Formal analysis, Supervision, Writing – original draft, Writing – review & editing
Affiliation Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian Federation
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E. Sharova,
Roles Conceptualization, Data curation, Supervision
Affiliation Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian Federation
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E. Kostryukova,
Roles Data curation, Supervision
Affiliation Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian Federation
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A. Larin,
Roles Data curation, Resources
Affiliation Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian Federation
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A. Kanygina,
Roles Investigation, Writing – original draft
Affiliations Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian Federation, Moscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow Region, Russian Federation
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V. Govorun,
Roles Project administration
Affiliations Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian Federation, Moscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow Region, Russian Federation, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russian Federation
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G. Arapidi
Roles Data curation, Supervision, Writing – review & editing
Affiliations Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian Federation, Moscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow Region, Russian Federation, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russian Federation
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LogLoss-BERAF: An ensemble-based machine learning model for constructing highly accurate diagnostic sets of methylation sites accounting for heterogeneity in prostate cancer
- K. Babalyan,
- R. Sultanov,
- E. Generozov,
- E. Sharova,
- E. Kostryukova,
- A. Larin,
- A. Kanygina,
- V. Govorun,
- G. Arapidi
- Published: November 2, 2018
- https://doi.org/10.1371/journal.pone.0204371