Author

David Morales‐Jiménez

Queen's University BelfastORCID 0000-0002-2141-7185Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Ahmed Abdul QuadeeriD· 1 shared Carolina Gómez‐LlorenteiD· 1 shared José CamachoiD· 1 shared Matthew R. McKayiD· 1 shared Raffaele VitaleiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Ahmed Abdul QuadeerORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineBioinformaticsPeer-reviewedDec 10, 2022

Variable-Selection ANOVA Simultaneous Component Analysis (VASCA)

José Camacho, Raffaele Vitale, David Morales‐Jiménez, Carolina Gómez‐Llorente

VASCA improves upon ASCA by selecting variables to increase statistical power without increasing Type-I error, showing better performance than ASCA and FDR in simulations and real data.

18 citations

statistical modelbenchmarking

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedSep 7, 2018

Co-evolution networks of HIV/HCV are modular with direct association to structure and function

Ahmed Abdul Quadeer, David Morales‐Jiménez, Matthew R. McKay

The paper identifies modular co-evolution networks in HIV and HCV proteins linked to structural and functional domains using sparse principal component analysis.

20 citations

protein sequencestatistical model

𝕏 PostBluesky