Author

Dillon T. Aberasturi

University of Arizona

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

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Organism:human· 1

Frequent Co-Authors

Colleen Kenost· 2 shared Joanne BerghoutiD· 2 shared Samir Rachid ZaimiD· 2 shared Yves A. LussieriD· 2 shared Francesca VitaliiD· 1 shared Haiquan LiiD· 1 shared Hao Helen ZhangiD· 1 shared Nima PouladiiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Colleen Kenost

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2 papers

Recent·Most cited

"Single-subject studies"-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases

Dillon T. Aberasturi, Nima Pouladi, Samir Rachid Zaim, Colleen Kenost, Joanne Berghout, Walter W. Piegorsch, Yves A. Lussier

The paper introduces Inter-N-of-1, a method to detect biomechanism differences in small cohorts by analyzing single-subject transcriptome data, showing high precision and recall in simulations and a clinical dataset.

Bioinformatics · Apr 27, 2021Peer-reviewedBioinformatics

Interpretation of Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes

Qike Li, Samir Rachid Zaim, Dillon T. Aberasturi, Joanne Berghout, Haiquan Li, Francesca Vitali, Colleen Kenost, Hao Helen Zhang, Yves A. Lussier

The paper introduces iDEG, a method to identify differentially expressed genes in a single subject without replicates, showing improved accuracy over existing methods in simulations.

bioRxiv · Mar 6, 2019 · PreprintBioinformatics