Author

Anthony Szedlak

Michigan State UniversityORCID 0000-0003-4827-3027Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:scRNA-seq· 1 Organism:yeast· 1

Frequent Co-Authors

Carlo PiermarocchiiD· 2 shared Giovanni PaternostroiD· 2 shared Jiayin WangiD· 1 shared Nathaniel T. HawkinsiD· 1 shared Nicholas H. SmithiD· 1 shared Sergii DomanskyiiD· 1 shared Spencer SimsiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Carlo PiermarocchiORCID

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2 papers

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedJul 1, 2019

Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clusters

Sergii Domanskyi, Anthony Szedlak, Nathaniel T. Hawkins…·Carlo Piermarocchi

The paper introduces a tool for automatically assigning cell types to scRNA-seq clusters using a voting algorithm based on molecular markers, validated on bone marrow data from the Human Cell Atlas.

35 citations

humanscRNA-seq

𝕏 PostBluesky

Systems BiologyPLoS Computational BiologyPeer-reviewedNov 17, 2017

Cell cycle time series gene expression data encoded as cyclic attractors in Hopfield systems

Anthony Szedlak, Spencer Sims, Nicholas H. Smith…·Carlo Piermarocchi

The paper models cell cycle dynamics using Hopfield systems with gene expression data from HeLa and yeast cells, identifying gene inhibition targets to disrupt the cycle.

20 citations

humanyeast

𝕏 PostBluesky