Author

Andrew G Duncan

University of Toronto

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:gene regulatory network inference· 3 Assay:DNA methylation· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

Jennifer A. MitchelliD· 3 shared Alan M MosesiD· 2 shared Aqsa Alam· 1 shared Ian C. TobiasiD· 1 shared Lida LangroudiiD· 1 shared Mariia CherednychenkoiD· 1 shared Natalia A GajewskaiD· 1 shared Raphaël B. Di RobertoiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersGenetics

Jennifer A. MitchellORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A Sox2 Enhancer Cluster Regulates Region-Specific Neural Fates from Mouse Embryonic Stem Cells

Ian C. Tobias, Sakthi D. Moorthy, Virlana M. Shchuka, Lida Langroudi, Mariia Cherednychenko, Zoe E. Gillespie, Andrew G Duncan, Ruxiao Tian, Natalia A Gajewska, Raphaël B. Di Roberto, Jennifer A. Mitchell

This study identifies a cis-regulatory enhancer cluster, SRR2-18, that regulates Sox2 transcription in mouse neural stem/progenitor cells, affecting their regional identity and differentiation into posterior neural fates.

G3 Genes Genomes Genetics · Jan 24, 2025Peer-reviewedGenetics

Improving the performance of supervised deep learning for regulatory genomics using phylogenetic augmentation

Andrew G Duncan, Jennifer A. Mitchell, Alan M Moses

This paper improves supervised deep learning for regulatory genomics by using phylogenetic augmentation to enhance model performance on small datasets.

Bioinformatics · Mar 29, 2024Peer-reviewedBioinformatics

Functional similarity of non-coding regions is revealed in phylogenetic average motif score representations

Aqsa Alam, Andrew G Duncan, Jennifer A. Mitchell, Alan M Moses

The paper defines a feature space for non-coding DNA sequences using phylogenetic average motif scores, revealing functional similarity among promoters and 3' UTRs.

bioRxiv · Apr 9, 2023 · PreprintGenomics