Author

Max Kühn

Posit Software, PBC (United States)ORCID 0000-0003-2402-136XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:machine learning (classical)· 2 Assay:bulk RNA-seq· 1 Research Focus:dimensionality reduction· 1 Assay:proteomics· 1

Frequent Co-Authors

Adriana TomićiD· 1 shared Andrew John PollardiD· 1 shared Enrique AudainiD· 1 shared Georgia D. TomarasiD· 1 shared Ivan TomiciD· 1 shared Janet M. LordiD· 1 shared Jennifer W HilliD· 1 shared Juan Antonio VizcaínoiD· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperSystems Biology

Adriana TomićORCID

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2 papers

Recent·Most cited

Systems BiologyPatternsPeer-reviewedJan 1, 2021

SIMON: open-source knowledge discovery platform

Adriana Tomić, Ivan Tomic, Levi Waldron…·Mark M. Davis

SIMON is an open-source platform that enables biomedical researchers to apply machine learning algorithms to high-dimensional data without requiring advanced programming skills.

23 citations

machine learning (classical)benchmarking

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BioinformaticsPLoS ONEPeer-reviewedDec 20, 2017

Accurate And Fast Feature Selection Workflow For High-Dimensional Omics Data

Yasset Pérez‐Riverol, Max Kühn, Juan Antonio Vizcaíno…·Enrique Audain

The paper develops an efficient feature selection workflow and R package for high-dimensional omics data, evaluated on proteomics and gene expression datasets.

81 citations

proteomicsbulk RNA-seq

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