Author

Camilo Ruiz

Stanford UniversityORCID 0000-0002-8395-2853Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Jure LeskoveciD· 2 shared Adrián CortésiD· 1 shared Alexandra Pettet· 1 shared Andreas R. PfenningiD· 1 shared Dongbo SuniD· 1 shared Hongyu ReniD· 1 shared J EngreitziD· 1 shared Jingtian ZhouiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Jure LeskovecORCID

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2 papers

Recent·Most cited

Small-cohort GWAS discovery with AI over massive functional genomics knowledge graph

Kexin Huang, Tony Zeng, Soner Koc, Alexandra Pettet, Jingtian Zhou, Mika Sarkin Jain, Dongbo Sun, Camilo Ruiz, Hongyu Ren, Laurence J Howe, Tom G. Richardson, Adrián Cortés, Katie Aiello, Kim Branson, Andreas R. Pfenning, , Jure Leskovec

KGWAS improves GWAS power in small cohorts by integrating a functional knowledge graph, discovering more associations for rare diseases.

medRxiv · Dec 3, 2024 · PreprintGenetic & Genomic Medicine

Identification of disease treatment mechanisms through the multiscale interactome

Camilo Ruiz, Marinka Žitnik, Jure Leskovec

This paper introduces a multiscale interactome framework to explain drug mechanisms by integrating drugs, diseases, proteins, and functions, showing drugs often target functionally related proteins rather than disease-associated ones.

Nature Communications · Mar 19, 2021Peer-reviewedBioinformatics