Author

Elizabeth Coler

University of ConnecticutORCID 0000-0002-2502-9665Unclaimed 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 Research Focus:database / resource· 2 Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Alexander A. AksenoviD· 2 shared Alexander SemenoviD· 2 shared Alexey V. MelnikiD· 2 shared Vladimir L. BoginskiiD· 2 shared Abubaker PataniD· 1 shared Aditya MishraiD· 1 shared Alexander A Aksenov· 1 shared Ali LotfiiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBiochemistry

Alexander A. AksenovORCID

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3 papers

Recent·Most cited

Real-time repository-scale spectral search and global molecular networking with HNSW-MS

Alexander Semenov, Andrew Roberts, Elizabeth Coler, Samarth Gupta, Evguenia Kopylova, Alexey V. Melnik, Vladimir L. Boginski, Alexander A Aksenov

HNSW-MS enables fast and accurate spectral search in large metabolomics repositories, allowing rapid integration of new spectra into global molecular networks.

bioRxiv · Aug 22, 2026 · PreprintBioinformatics

Ordering molecular diversity in untargeted metabolomics via molecular community networking

Elizabeth A. Coler, Alexey V. Melnik, Ali Lotfi, Dana Moradi, Ben Ahiadu, Paulo Wender Portal Gomes, Abubaker Patan, Vincent Charron‐Lamoureux, Pieter C. Dorrestein, Stephen Barnes, Vladimir L. Boginski, Alexander Semenov, Alexander A. Aksenov

This paper introduces molecular community networking to organize metabolite data, revealing hidden connections and discovering novel dipeptide-conjugated bile acids.

Cell Reports Methods · Jun 2, 2026Peer-reviewedBiochemistry

Moving from Association to Causation: Instrumental factor models for causal inference in high-dimensional multi-omics data

Aditya Mishra, Michelle H. Badri, Elizabeth Coler, Zhe Liu, Richard Bonneau, James T Morton, Alexander A. Aksenov

This paper introduces FactorIV, a causal inference method for high-dimensional multi-omics data, demonstrating its ability to recover causal effects in biological systems.

bioRxiv · Dec 27, 2025 · PreprintBioinformatics