Author

Nadejda B. Boev

University Health Network

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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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:machine learning (classical)· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Sushant KumariD· 3 shared Alexander Joseph Turco· 1 shared Kate M. MacDonaldiD· 1 shared Mark GersteiniD· 1 shared Shane M. HardingiD· 1 shared Ulises Omar García‐LepeiD· 1 shared Yu–Kai WangiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 12 mutual co-author links

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3 shared papersGenomics

Sushant KumarORCID

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3 papers

Recent·Most cited

Diversity and Genomic Organization of Non-B DNA Motifs in Haplotype-Resolved Human Genome Assemblies

Alexander Joseph Turco, Nadejda B. Boev, Sushant Kumar

The paper analyzes non-B DNA motifs in haplotype-resolved human genomes, revealing population-level variation and structural stability patterns in repetitive genomic regions.

bioRxiv · Mar 7, 2026 · PreprintGenomics

DNA shape and epigenomics distinguish the mechanistic origin of human genomic structural variations

Nadejda B. Boev, Mark Gerstein, Sushant Kumar

The paper uses genomic and epigenomic data to identify mechanisms underlying the origin of structural variations in the human genome.

Nucleic Acids Research · Nov 7, 2025Peer-reviewedGenomics

MicroNucML: A machine learning approach for micronuclei segmentation and the refinement of nuclei-micronuclei relationships

Yu–Kai Wang, Nadejda B. Boev, Ulises Omar García‐Lepe, Kate M. MacDonald, Shane M. Harding, Sushant Kumar

This paper introduces a machine learning tool for micronuclei segmentation and refines nuclei-micronuclei relationships using a two-phase labeling approach and a Mask-RCNN model.

bioRxiv · Sep 20, 2025 · PreprintBioinformatics