Author

Agustín González-Reymúndez

Michigan State UniversityORCID 0000-0002-2249-8335Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Assay:whole-genome sequencing· 2 Research Focus:clustering· 1

Frequent Co-Authors

Ana Ines VazqueziD· 2 shared George I. MiasiD· 1 shared Gustavo de los CamposiD· 1 shared Henner SimianeriD· 1 shared Kasey R. HuttiD· 1 shared Kylie A. SheniD· 1 shared Sichong PengiD· 1 shared Stephanie Bruns· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersGenomics

Ana Ines VazquezORCID

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3 papers

Recent·Most cited

eCV: Enhanced coefficient of variation and IDR extensions for reproducibility assessment of high-throughput experiments with multiple replicates.

Agustín González-Reymúndez, Kylie A. Shen, Wayne Doyle, Sichong Peng, Kasey R. Hutt, Stephanie Bruns

The paper introduces three new methods for assessing reproducibility in high-throughput experiments with multiple replicates, improving upon the IDR method by handling any number of replicates.

bioRxiv · Dec 18, 2023 · PreprintBioinformatics

Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin.

Agustín González-Reymúndez, Ana Ines Vazquez

The paper uses multi-omic integration to reclassify tumors into eight groups based on molecular signatures, revealing distinct clinical and genomic characteristics beyond tissue of origin.

Scientific Reports · May 20, 2020Peer-reviewedGenomics

Analysis of variance when both input and output sets are high-dimensional

Gustavo de los Campos, Torsten Pook, Agustín González-Reymúndez, Henner Simianer, George I. Mias, Ana Ines Vazquez

The paper introduces two methods for analysis of variance in high-dimensional data and evaluates their performance on genomic datasets.

bioRxiv · Feb 15, 2020 · PreprintGenomics