Author

I. Palacios

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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Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

A. Diez-Sanchez· 1 shared A. Quilez-Alvarez· 1 shared D. Jimenez-Carretero· 1 shared L. Fernandez-de-Manuel· 1 shared M. A. del Pozo· 1 shared M. C. Montoya· 1 shared V. Abrishami· 1 shared

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperPharmacology & Toxicology

A. Diez-Sanchez

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1 paper

Recent·Most cited

Tox_(R)CNN: Deep Learning-Based Nuclei Profiling tool For Drug Toxicity Screening

D. Jimenez-Carretero, V. Abrishami, L. Fernandez-de-Manuel, I. Palacios, A. Quilez-Alvarez, A. Diez-Sanchez, M. A. del Pozo, M. C. Montoya

This paper develops Tox-(R)CNN models to predict drug toxicity from nuclei images, showing improved sensitivity and broader specificity compared to existing methods.

PLOS Computational Biology · Nov 30, 2018Peer-reviewedPharmacology & Toxicology