Author

Emily Maciejewski

University of California, Los Angeles

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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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Organism:multiple species· 2 Approach:statistical model· 2 Assay:ChIP-seq· 1 Research Focus:database / resource· 1 Research Focus:eQTL / molecular QTL mapping· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Jason ErnstiD· 3 shared Steve HorvathiD· 2 shared A ArnesoniD· 1 shared Ake Tzu-Hui LuiD· 1 shared Amin HaghaniiD· 1 shared Bret Barnes· 1 shared Caesar Z. LiiD· 1 shared Charles E. BreezeiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersBioinformatics

Jason ErnstORCID

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Author profile →

3 papers

Recent·Most cited

Chromatin state modeling across individuals reveals global patterns of histone modifications

Jennifer Zou, Emily Maciejewski, Jason Ernst

The paper uses a stacked chromatin state model to identify global patterns of histone modifications across individuals and applies them to predict transregulators and identify trans-QTL in disease contexts.

Communications Biology · Jun 7, 2025Peer-reviewedBioinformatics

Cross-species and tissue imputation of species-level DNA methylation samples across mammalian species.

Emily Maciejewski, Steve Horvath, Jason Ernst

The paper develops CMImpute, a method to impute DNA methylation data for unprofiled species-tissue combinations, achieving strong correlation with observed values and imputing 19,786 new combinations.

Genome biology · May 20, 2025Peer-reviewedBioinformatics

A mammalian methylation array for profiling methylation levels at conserved sequences

A Arneson, Amin Haghani, Michael James Thompson, Matteo A. Pellegrini, Soo Bin Kwon, Ha Vu, Emily Maciejewski, Mingjia Yao, Caesar Z. Li, Ake Tzu-Hui Lu, Marco Morselli, Liudmilla Rubbi, Bret Barnes, Kasper D. Hansen, Wanding Zhou, , Steve Horvath

The paper develops a mammalian methylation array to profile methylation levels at conserved sequences across species, enabling cross-species comparisons and epigenetic biomarker development.

Nature Communications · Feb 10, 2022Peer-reviewedBioinformatics