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Miguel Hernández-Quiles

The Netherlands Cancer Institute

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Genetics· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:software / tool· 1 Assay:whole-genome sequencing· 1

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Bas van SteenseliD· 1 shared Carlos G. Urzúa-TraslaviñaiD· 1 shared Celia Hermana-Garcia-Agullo· 1 shared Emile E. VoestiD· 1 shared Hatice Yücel· 1 shared Jérémie BredaiD· 1 shared Jeroen de RidderiD· 1 shared Lucía Barbadilla-Martínez· 1 shared

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Recent·Most cited

GeneticsbioRxivPreprintJul 9, 2024

The regulatory grammar of human promoters uncovered by MPRA-trained deep learning

Lucía Barbadilla-Martínez, Noud H.M. Klaassen, Vinícius H. Franceschini-Santos…·Bas van Steensel

This paper introduces PARM, a deep learning model trained on MPRA data to predict human promoter activity and identify TF binding preferences, revealing positional and functional differences in regulatory grammar.

9 citations

humanDNA methylation

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