Author

Jose Miguel Acitores Cortina

Cedars-Sinai Medical CenterORCID 0009-0007-0361-9334Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Nicholas P. TatonettiiD· 2 shared Aditi KuchiiD· 1 shared Hongyu LiuiD· 1 shared Jacob S. BerkowitziD· 1 shared Martijn C. SchutiD· 1 shared Yasaman FatapouriD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

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2 shared papersBioinformatics

Nicholas P. TatonettiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 11, 2026

BioMADE: Predicting Torsades de Pointes from molecular structures through biologically informed representations

Jose Miguel Acitores Cortina, Martijn C. Schut, Nicholas P. Tatonetti

BioMADE predicts Torsades de Pointes risk using biologically informed molecular representations, outperforming chemical-only models.

DOI 10.64898/2026.05.06.723121

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 17, 2025

Cell-Type Specific Single-Cell Signatures Reveal Nephrotoxic Drug Effects

Aditi Kuchi, Jose Miguel Acitores Cortina, Hongyu Liu…·Nicholas P. Tatonetti

The paper identifies cell-type specific single-cell signatures that reveal nephrotoxic drug effects and improves prediction of drug-induced kidney injury compared to bulk RNA sequencing.

DOI 10.1101/2025.06.17.660070

𝕏 PostBluesky