Author

Nicolas A Pabon

University of PittsburghORCID 0000-0002-2591-4349Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Amanda Katherina HerbrandiD· 1 shared Carlos Jaime CamachoiD· 1 shared Cihan Kaya· 1 shared Evelyn Süß· 1 shared Jason E. GestwickiiD· 1 shared Jeffrey L. BrodskyiD· 1 shared Ricardo M. BiondiiD· 1 shared Samuel K. EstabrooksiD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenomics

Amanda Katherina HerbrandORCID

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2 papers

Recent·Most cited

Predicting protein targets for drug-like compounds using transcriptomics

Nicolas A Pabon, Yan Xia, Samuel K. Estabrooks, Zhaofeng Ye, Amanda Katherina Herbrand, Evelyn Süß, Ricardo M. Biondi, Victoria A. Assimon, Jason E. Gestwicki, Jeffrey L. Brodsky, Carlos Jaime Camacho, Ziv Bar‐Joseph

The paper develops a pipeline to predict protein targets for drug-like compounds using transcriptomics and machine learning, achieving 26% top-10 accuracy on FDA-approved drugs.

PLoS Computational Biology · Dec 7, 2018Peer-reviewedGenomics

Classifying Bladder Cancer Subtypes

Cihan Kaya, Nicolas Arcenio Pabon

The paper uses multi-omic data to recreate mRNA-based bladder cancer clusters, achieving 79% accuracy, suggesting mRNA expression can be inferred from other molecular features.

bioRxiv · Jan 18, 2018 · PreprintCancer Biology