Author

Dan-Yu Lin

University of North Carolina at Chapel Hill

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:GWAS summary statistics· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Abhishek Vishnu· 1 shared Alex P. ReineriD· 1 shared Alexandra SockelliD· 1 shared Andrés Moreno‐EstradaiD· 1 shared Andrew B. NobeliD· 1 shared Anne E Justice· 1 shared Benyam Hailu· 1 shared Brenna M. HenniD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenetics

Abhishek Vishnu

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Author profile →

3 papers

Recent·Most cited

EPIC: inferring relevant cell types for complex traits by integrating genome-wide association studies and single-cell RNA sequencing

Rujin Wang, Dan-Yu Lin, Yuchao Jiang

EPIC integrates GWAS summary statistics with scRNA-seq to identify cell types relevant to complex traits, outperforming existing methods in enrichment analysis.

PLoS Genetics · Jun 16, 2022Peer-reviewedBioinformatics

An Integrative Boosting Approach for Predicting Survival Time With Multiple Genomics Platforms

Kin Yau Wong, C. Fan, Maki Tanioka, Joel S. Parker, Andrew B. Nobel, Donglin Zeng, Dan-Yu Lin, Charles M. Perou

This paper introduces I-Boost, a method that improves survival time prediction by integrating multiple genomics data types with clinical variables, showing better accuracy than existing methods.

Genome biology · Mar 7, 2019Peer-reviewedBioinformatics

The PAGE Study: How Genetic Diversity Improves Our Understanding of the Architecture of Complex Traits

Genevieve L. Wojcik, Mariaelisa Graff, Katherine K Nishimura, Ran Tao, Jeffrey Haessler, Christopher R. Gignoux, Heather M Highland, Yesha M Patel, Elena P. Sorokin, Christy L Avery, Gillian M Belbin, Stephanie A Bien, Iona C. Cheng, Sinead Cullina, Chani J Hodonsky, , Christopher S Carlson

The paper conducts a GWAS in non-European populations, identifies new genetic loci, and highlights the importance of diverse cohorts for understanding complex traits.

bioRxiv · Oct 17, 2018 · PreprintGenetics