Author

Tamara Sanhueza

Hospital Universitari Germans Trias i PujolORCID 0000-0002-8065-0438Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alejandro Ríos-HoyoiD· 1 shared Alejo Rodriguez-VidaiD· 1 shared Ariadna Acedo-TerradesiD· 1 shared Cristina CarratoiD· 1 shared Eduardo EyrasiD· 1 shared Eulàlia PuigdecanetiD· 1 shared Gottfrid SjödahliD· 1 shared Joaquim Bellmunt BiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Alejandro Ríos-HoyoORCID

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1 paper

Recent·Most cited

Transcriptomics-Driven Machine Learning Models Accurately Predict Chemotherapy Response in Muscle-invasive Bladder Cancer

Ariadna Acedo-Terrades, Alejo Rodriguez-Vida, Oscar Buisán, Marta Bódalo‐Torruella, Maria Gabarros, Miquel Clarós, Nuria Juanpere-Rodero, Marta Lorenzo, Sergio Vázquez Montes de Oca, Alejandro Ríos-Hoyo, Cristina Carrato, Tamara Sanhueza, Eduardo Eyras, Eulàlia Puigdecanet, Gottfrid Sjödahl, , Joaquim Bellmunt B

The paper develops a machine learning model using transcriptomic data to predict chemotherapy response in muscle-invasive bladder cancer with high accuracy.

medRxiv · Jun 28, 2024 · PreprintGenetic & Genomic Medicine