Author

Paul Morrison

Fontbonne University

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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Bioinformatics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Arsham SheybaniiD· 1 shared Bahareh RahmaniiD· 1 shared Charles LuiD· 1 shared Daniel F. LeveyiD· 1 shared Deepak Cyril D’SouzaiD· 1 shared Joel E. GelernteriD· 1 shared Marta Di FortiiD· 1 shared Maxwell W. DixoniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperBioinformatics

Arsham SheybaniORCID

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Author profile →

3 papers

Recent·Most cited

Genomic Variation Predicts Real-Time Δ⁹-tetrahydrocannabinol Response in Humans

Uri Bright, Suhas Ganesh, Daniel F. Levey, Priya Gupta, Mohini Ranganathan, Robin M. Murray, Marta Di Forti, PAUL MORRISON, Deepak Cyril D’Souza, Joel E. Gelernter

This study links genomic variation to real-time Δ9-THC response in humans, showing associations between CYP3A4 expression and psychotomimetic effects.

medRxiv · Jul 1, 2026 · PreprintGenetic & Genomic Medicine

gen3DNet: An R Package for Generating 3D Network Models

Paul Morrison, Tina Tang, Charles Lu, Shamim Ara Mollah

The paper introduces an R package, gen3DNet, for generating 3D network models from two correlated data objects with shared factors, using non-negative matrix factorization and partial least squares regression.

bioRxiv · Nov 11, 2024 · PreprintBioinformatics

Predicting failures of Molteno and Baerveldt glaucoma drainage devices using machine learning models

Paul Morrison, Maxwell W. Dixon, Arsham Sheybani, Bahareh Rahmani

This study uses machine learning to predict glaucoma drainage device failure based on patient demographics and preoperative data, finding logistic regression performs best.

Computer Science & Information Technology (CS & IT) · Nov 28, 2020Peer-reviewedBioinformatics