Author

Evangelos Simeonidis

Institute for Systems Biology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Systems Biology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1 Assay:metagenomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Nathan D. PriceiD· 2 shared Ben HeavneriD· 1 shared Brendan King· 1 shared Jennifer J. SmithiD· 1 shared John D. AitchisoniD· 1 shared Li SongiD· 1 shared Matthew A. Richards· 1 shared Michael B. MundyiD· 1 shared

Activity by Year

2017-2017 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersSystems Biology

Nathan D. PriceORCID

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2 papers

Recent·Most cited

ProbAnnoWeb and ProbAnnoPy: probabilistic annotation and gap-filling of metabolic reconstructions

Brendan King, Terry Farrah, Matthew A. Richards, Michael B. Mundy, Evangelos Simeonidis, Nathan D. Price

ProbAnnoWeb and ProbAnnoPy fill gaps in metabolic reconstructions by using probabilistic annotations specific to the target organism.

Bioinformatics · Dec 15, 2017Peer-reviewedSystems Biology

Combining inferred regulatory and reconstructed metabolic networks enhances phenotype prediction in yeast

Zhuo Wang, Samuel A. Danziger, Ben Heavner, Shuyi Ma, Jennifer J. Smith, Li Song, Thurston Herricks, Evangelos Simeonidis, Nitin S. Baliga, John D. Aitchison, Nathan D. Price

The paper introduces IDREAM, a method that combines gene regulatory and metabolic networks to improve phenotype prediction in yeast, showing better accuracy than existing methods.

PLoS Computational Biology · May 17, 2017Peer-reviewedSystems Biology