Author

J. M. Elicegui

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Assay:DNA methylation· 1 Organism:human· 1 Approach:statistical model· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

A. Merlotti· 1 shared A. T. Turki· 1 shared C. Sala· 1 shared D. Dall'Olio· 1 shared E. Giampieri· 1 shared E. Sträng· 1 shared G. Castellani· 1 shared J. M. Hernandez-Rivas· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

A. Merlotti

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1 paper

Recent·Most cited

Covering Hierarchical Dirichlet Mixture Models on binary data to enhance genomic stratifications in Onco-Hematology

D. Dall'Olio, E. Sträng, A. T. Turki, J. M. Tettero, M. Barbus, R. Schulze-Rath, J. M. Elicegui, T. Matteuzzi, A. Merlotti, L. Carota, C. Sala, M. G. Della Porta, E. Giampieri, J. M. Hernandez-Rivas, L. Bullinger, G. Castellani

This paper applies Hierarchical Dirichlet Mixture Models to binary genomic data in AML to improve patient stratification and clustering through statistical refinements.

bioRxiv · Jun 26, 2023Cancer Biology