Author

Scott A. Malec

University of New MexicoORCID 0000-0003-1696-1781Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Organism:human· 1

Frequent Co-Authors

Arthur S. Levine· 1 shared C. Elizabeth ShaabaniD· 1 shared Helmet Talib KarimiD· 1 shared Manjil Man PradhaniD· 1 shared Paul MunroiD· 1 shared Rajesh UpadhayayaiD· 1 shared Richard D. BoyceiD· 1 shared Sanya B. TanejaiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperSystems Biology

Arthur S. Levine

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 12, 2026

CausalKnowledgeTrace: A Novel Computational Framework for Automated Literature-Based Causal Graph Construction and Evidence-Based Variable Selection in Biomedical Research

Rajesh Upadhayaya, Manjil Man Pradhan, Vincent T. Metzger, Scott A. Malec

CausalKnowledgeTrace constructs causal graphs and identifies confounders and bias structures from biomedical literature using structured knowledge, improving variable selection for causal inference.

DOI 10.64898/2026.05.07.723601

statistical modelbenchmarking

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Systems BiologyJournal of Biomedical InformaticsPeer-reviewedApr 21, 2023

Causal feature selection using a knowledge graph combining structured knowledge from the biomedical literature and ontologies: a use case studying depression as a risk factor for Alzheimer's disease

Scott A. Malec, Sanya B. Taneja, Steven M. Albert…·Richard D. Boyce

This paper introduces a knowledge graph approach to causal feature selection, identifying confounders, mediators, and colliders for depression's effect on Alzheimer's disease risk.

18 citations

humanstatistical model

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