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Disambiguation of "Kim, Dokyoon"

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Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.

, , , and . Journal of Biomedical Informatics, (2015)

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Kim Meliani University of Stuttgart

Joel Kimmich University of Stuttgart

Do Yeon Kim University of Stuttgart

Dr. Wolfgang Kimmerle University of Stuttgart

Dr. -Ing. Kim Riedmüller University of Stuttgart

 

Other publications of authors with the same name

Binning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma., , , , and . Pacific Symposium on Biocomputing, page 96-107. (2015)Session Introduction., , , and . PSB, page 1-7. (2019)ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network., , , and . BioData Min., (2013)Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data., , , , , , , and . BIBM, page 1381-1384. IEEE, (2021)Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction., , , , , , and . JAMIA, 22 (1): 109-120 (2015)Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors., , , and . BMC Systems Biology, 7 (S-6): S9 (2013)Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker., , , , , , and . PSB, page 365-376. (2018)Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network., , , , , , , , , and 1 other author(s). BioData Min., (2016)Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma., , , , , and . JAMIA, 24 (3): 577-587 (2017)Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease., , , , , , , and . BMC Med. Inf. & Decision Making, 17 (S-1): 61:1-61:7 (2017)