Author

Andrea Aparicio

Harvard UniversityORCID 0000-0001-7195-8273Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Organism:human· 1

Frequent Co-Authors

Ashley Elizabeth RoskoiD· 1 shared Carolyn Jean PresleyiD· 1 shared Christin Elizabeth BurdiD· 1 shared Claude H. Moog· 1 shared Jessica Ann Lasky-SuiD· 1 shared Jorge X. Velasco· 1 shared Marco Tulio AnguloiD· 1 shared Max MelnikasiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenomics

Ashley Elizabeth RoskoORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintJul 17, 2026

Regulatory mode and enhancer architecture determine limits of blood DNA methylation as a molecular proxy

Varun Bhamidipati Dwaraka, Max Melnikas, Sayf Al-Deen Hassouneh…·Christin Elizabeth Burd

The paper shows that blood DNA methylation can predict gene expression based on regulatory mode and enhancer architecture, with lineage genes being more predictable than stimulus-responsive genes.

DOI 10.64898/2026.07.14.738581

humanDNA methylation

𝕏 PostBluesky

EcologybioRxivPreprintNov 19, 2018

Identifying sensor species to predict critical transitions in complex ecosystems

Andrea Aparicio, Jorge X. Velasco, Claude H. Moog…·Marco Tulio Angulo

The paper develops a method to identify sensor species in ecosystems to predict critical transitions using network structure, validated on experimental lake data.

DOI 10.1101/472878

statistical modelecology & biodiversity

𝕏 PostBluesky