Kieran et al. 2025 - Scientific Reports. R code for lethality/morbidity machine learning with tissues.
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Updated
Dec 10, 2025 - R
Kieran et al. 2025 - Scientific Reports. R code for lethality/morbidity machine learning with tissues.
Codes for the final project of the subject Computational Biophysics of the degree Engineering Physics (UPC). By Marta Alcalde i Núria Mercadé.
Kieran et al. 2024 - npj Viruses - influenza A transmission thersholds
Pulit-Penaloza et al. 2026 - Nature Communications. Advancing A(H5N1) influenza risk assessment in ferrets through comparative evaluation of airborne virus shedding patterns R code.
Kieran et al. (under revision) - PLoS Computational Biology
A computational pipeline for analyzing tissue regeneration in volumetric muscle loss treatment studies. Enables automated processing of histological and immunohistochemical whole slide images to quantify tissue components, inflammatory responses, and regenerative markers. Provides standardized analysis of spatial tissue heterogeneity.
Neural network pruning for finding a sparse computational model for controlling a biological motor task.
Analysis for the manuscript: 'Coral adaptation to climate change: Meta-analysis reveals high heritability across multiple traits', published in Global Change Biology
Kieran et al. 2024 - Communication Biology - R code for machine learning in influenza infected ferrets
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