Author

Anne Sonnenschein

Chapman UniversityORCID 0009-0000-9836-6200Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:Drosophila· 2 Assay:ChIP-seq· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Ian M. DworkiniD· 2 shared Alycia KowalskiiD· 1 shared Andrew Victory· 1 shared Anna MammeliD· 1 shared Christian Marier· 1 shared Christopher H. ChandleriD· 1 shared Cody PorteriD· 1 shared David C. TackiD· 1 shared

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2017-2018 · peak 1/yr

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10 top collaborators · 37 mutual co-author links

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2 shared papersGenomics

Ian M. DworkinORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintMay 25, 2018

The Sheep and the Goats: Distinguishing transcriptional enhancers in a complex chromatin landscape

Anne Sonnenschein, Ian M. Dworkin, David N. Arnosti

The paper uses machine learning to predict enhancers in Drosophila, finding that no single factor is necessary and spatial-temporal features improve classification.

1 citation

DrosophilaChIP-seq

𝕏 PostBluesky

GeneticsPLoS GeneticsPeer-reviewedNov 22, 2017

How Well Do You Know Your Mutation? Complex Effects Of Genetic Background On Expressivity, Complementation, And Ordering Of Allelic Effects

Christopher H. Chandler, Sudarshan Chari, Alycia Kowalski…·Ian M. Dworkin

The paper investigates how genetic background and rearing environment affect mutation expressivity, complementation, and allelic ordering in Drosophila.

48 citations

Drosophilastatistical model

𝕏 PostBluesky