Author

Guillermo Iglesias

Universidad Politécnica de MadridORCID 0000-0001-8733-7148Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrea S. MesegueriD· 1 shared Belén SantacruziD· 1 shared David ReigadaiD· 1 shared Edgar TalaveraiD· 1 shared Isabel SanmartíniD· 1 shared Lorena Gonzalez GeaiD· 1 shared Magda Palka-KotlowskaiD· 1 shared Manuel Nieto‐DíaziD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperEvolutionary Biology

Andrea S. MeseguerORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintMay 19, 2026

Context-dependent reconfiguration and spatial reorganisation of the miR-199a-5p/XIAP axis in high-grade serous ovarian cancer

Teresa Muñoz‐Galdeano, David Reigada, Manuel Nieto‐Díaz…·Rodrigo M. Maza

This study examines the context-dependent relationship between miR-199a-5p and XIAP in cisplatin-sensitive and resistant ovarian cancer models and human tissue, revealing spatial reorganisation in resistant disease.

DOI 10.64898/2026.03.11.711019

humanimaging

𝕏 PostBluesky

Evolutionary BiologybioRxivPreprintAug 27, 2025

On the utility of Deep Learning for model classification and parameter estimation on complex diversification scenarios.

Pablo Gutiérrez de la Peña, Guillermo Iglesias, Edgar Talavera…·Isabel Sanmartín

This study compares Convolutional Neural Networks and Maximum Likelihood Estimation for classifying and estimating parameters in birth-death diversification models.

1 citation

deep learningstatistical model

𝕏 PostBluesky