Author

Matthew Anderson

Georgia Southern UniversityPrimary ORCID profile (0000-0002-6206-4128 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Matthew AndersoniD1 paper · R&D Systems (United States)

Biology Disciplines

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Genomics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:bacteria (other)· 1 Approach:Bayesian inference· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Aaron A. BestiD· 1 shared Aathmaja Anandhi RangarajaniD· 1 shared Anthony Pangalinan· 1 shared Brian Gilbert· 1 shared Christopher M. WatersiD· 1 shared Claire Mach· 1 shared Craig DisselkoeniD· 1 shared Dalal Seyhan· 1 shared

Activity by Year

2013-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperGenomics

Aaron A. BestORCID

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Author profile →

3 papers

Recent·Most cited

Analyzing the role of a dual-function diguanylate cyclase/phosphodiesterase for attachment and motility in Agrobacterium tumefaciens

Priya Aryal, Matthew Anderson, Hannah Turrisi, Aathmaja Anandhi Rangarajan, Mackenzie Brooks, Gianna Rodriguez, Delayna L. Warrell, Anthony Pangalinan, Ganishah Charles-Estain, Ravinder Abraham, Hope Zaborowski, Dalal Seyhan, Christopher M. Waters, Jason E. Heindl

This study investigates the dual-function DGC/PDE DcpB in A. tumefaciens, showing its cell cycle-dependent PDE activity regulates motility and biofilm formation, with genetic interactions involving thuR.

bioRxiv · Aug 14, 2025 · PreprintMicrobiology

IMPROVEMENTS TO BAYESIAN GENE ACTIVITY STATE ESTIMATION FROM GENOME-WIDE TRANSCRIPTOMICS DATA

Craig Disselkoen, Nathan Hekman, Brian Gilbert, Sydney Benson, Matthew Anderson, Matt DeJongh, Aaron A. Best, Nathan Tintle

The paper improves a Bayesian method for gene activity state estimation by addressing limitations in handling outliers and modeling uncertainty in co-regulation networks.

bioRxiv · Dec 29, 2017 · PreprintGenomics

On the Reproducibility of TCGA Ovarian Cancer MicroRNA Profiles

Ying-Wooi Wan, Claire Mach, Genevera I. Allen, Matthew Anderson, Zhandong Liu

The paper examines the reproducibility of miRNA profiles in ovarian cancer using TCGA data, finding poor correlation between microarray and miRNA-Seq results, with only one miRNA consistently associated with survival.

bioRxiv · Nov 13, 2013Genomics