Author

Andrew J. Kavran

University of Colorado BoulderORCID 0000-0001-7660-3922Unclaimed 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 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Aaron J. ClausetiD· 2 shared Megan PalacioiD· 1 shared Michael J. SmalleganiD· 1 shared Naiara Doherty GarciaiD· 1 shared Nicholas J. CordaroiD· 1 shared Nickolaus C. LammeriD· 1 shared Sara L. SawyeriD· 1 shared Suzannah G. MilleriD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Aaron J. ClausetORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 12, 2021

Optimizing Polymerase Chain Reaction (PCR) using Machine Learning

Nicholas J. Cordaro, Andrew J. Kavran, Michael J. Smallegan…·Aaron J. Clauset

This study uses machine learning to improve PCR success rates, achieving 81% prediction accuracy and identifying 15 under-optimized features.

7 citations

machine learning (classical)benchmarking

𝕏 PostBluesky

Systems BiologyBMC BioinformaticsPeer-reviewedMar 25, 2021

Denoising large-scale biological data using network filters

Andrew J. Kavran, Aaron J. Clauset

This paper introduces network filters to reduce noise in large-scale biological data, improving accuracy in predicting protein expression changes in human tissues.

18 citations

humanproteomics

𝕏 PostBluesky