Author

Eejung Kim

Primary ORCID profile (0000-0003-0381-0992 · 3 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Eejung KimiD3 papers · Broad Institute

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alireza Kashani· 1 shared Atanas Kamburov· 1 shared Elizabeth Worstell· 1 shared Gad Getz· 1 shared Heiko HorniD· 1 shared Jesse S. BoehmiD· 1 shared Jessica Xin Hu· 1 shared Kasper LageiD· 1 shared

Activity by Year

2015-2015 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Alireza Kashani

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1 paper

Recent·Most cited

A comparative analysis of network mutation burdens across 21 tumor types augments discovery from cancer genomes

Heiko Horn, Michael S. Lawrence, Jessica Xin Hu, Elizabeth Worstell, Nina Ilic, Yashaswi Shrestha, Eejung Kim, Atanas Kamburov, Alireza Kashani, William C. Hahn, Jesse S. Boehm, Gad Getz, Kasper Lage

The paper quantifies network mutation burdens across 21 tumor types to identify putative cancer genes, finding 62 new candidates with greater sensitivity for low-frequency mutations.

bioRxiv · Aug 25, 2015 · PreprintCancer Biology