Author

M Taylor

University of Colorado Anschutz

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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Genetic & Genomic Medicine· 1 Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Adrian M. Stewart· 1 shared Alaa Radwan· 1 shared Alain DagheriD· 1 shared Alan W. Franklin· 1 shared Alanna MorrisoniD· 1 shared Alex P. ReineriD· 1 shared Andrew David GrotzingeriD· 1 shared Andrew Monte· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Adrian M. Stewart

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Author profile →

3 papers

Recent·Most cited

Unveiling the Hidden Rules: Enhancing NMD Prediction for Protein-Truncating Variants

Iman Egab, Jacob Schmidt, Michael A. Cortázar, Jiaoyang Xu, Peter Orchard, Moez Dawood, Tugce Bozkurt‐Yozgatli, Jasmine Koh, Luisa Mestroni, M Taylor, S. Stephen Yi, Daniel G. Calame, Jennifer Ellen Posey, Richard A. Gibbs, Eric Boerwinkle, , Zeynep Coban‐Akdemir

The paper develops a model to predict NMD outcomes for protein-truncating variants using RNA-seq data, achieving ~78% ROC-AUC and identifying non-canonical determinants.

bioRxiv · Oct 9, 2026 · PreprintGenomics

Modeling the genomic architecture of adiposity and anthropometrics across the lifespan

Christopher H. Arehart, Meng Hsuan Lin, Raine A Gibson, Heather D. Anderson, Aquilante CL, Kelsey L. Arbogast, Ian M. Brooks, Tonya M. Brunetti, Judith Brutus-Lestin, Elizabeth E. Burke, Emily M. Casteel, Joanne B. Cole, Curtis R. Coughlin, Kristy Crooks, Jacob Crawford, , Luke M. Evans

This study models the genomic architecture of adiposity and anthropometrics across the lifespan, identifying shared and distinct genetic factors and their associations with health outcomes.

Nature Communications · Aug 13, 2025Peer-reviewedGenetic & Genomic Medicine

Neural correlates of evidence and urgency during human perceptual decision-making in dynamically changing conditions

Yvonne H. C. Yau, Mahsa Dadar, M Taylor, Yashar Zeighami, Lesley K. Fellows, Paul Cisek, Alain Dagher

This study links neural activity in the human brain to decision-making parameters during a perceptual task, showing how drift rates and urgency signals are reflected in fMRI data.

Cerebral Cortex · May 28, 2020Peer-reviewedNeuroscience