Author

Emma Schwager

Harvard UniversityORCID 0000-0002-7385-8994Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:metagenomics· 1 Organism:mouse· 1

Frequent Co-Authors

Curtis HuttenhoweriD· 2 shared Eric A. FranzosaiD· 2 shared Yo Sup MooniD· 2 shared Ali RahnavardiD· 1 shared Andrew R. GhaziiD· 1 shared Boyu ReniD· 1 shared George Weingart· 1 shared Himel MallickiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

Curtis HuttenhowerORCID

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2 papers

Recent·Most cited

High-sensitivity pattern discovery in large, paired multi-omic datasets

Andrew R. Ghazi, Kathleen Sucipto, Ali Rahnavard, Eric A. Franzosa, Lauren J. McIver, Jason Lloyd‐Price, Emma Schwager, George Weingart, Yo Sup Moon, Xochitl C. Morgan, Levi Waldron, Curtis Huttenhower

This paper introduces HAllA, a method for discovering associations in multi-omic datasets, showing it outperforms existing approaches and identifies new biological relationships.

Bioinformatics · Apr 26, 2022Peer-reviewedBioinformatics

A Statistical Model for Describing and Simulating Microbial Community Profiles

Siyuan Ma, Boyu Ren, Himel Mallick, Yo Sup Moon, Emma Schwager, Sagun Maharjan, Timothy L. Tickle, Yiren Lu, Rachel N. Carmody, Eric A. Franzosa, Lucas Janson, Curtis Huttenhower

The paper introduces a statistical model to simulate microbial community profiles and evaluates its performance in benchmarking analysis methods.

PLoS Computational Biology · Sep 13, 2021Peer-reviewedBioinformatics