Kim D - Search Results

1

Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma.

Kim D, Li R, Lucas A, Verma SS, Dudek SM, Ritchie MD. Kim D, et al. J Am Med Inform Assoc. 2017 May 1;24(3):577-587. doi: 10.1093/jamia/ocw165. J Am Med Inform Assoc. 2017. PMID: 28040685 Free PMC article.

2

Synergistic effect of different levels of genomic data for cancer clinical outcome prediction.

Kim D, Shin H, Song YS, Kim JH. Kim D, et al. Among authors: kim jh. J Biomed Inform. 2012 Dec;45(6):1191-8. doi: 10.1016/j.jbi.2012.07.008. Epub 2012 Aug 15. J Biomed Inform. 2012. PMID: 22910106 Free article.

3

Extracting coordinated patterns of DNA methylation and gene expression in ovarian cancer.

Joung JG, Kim D, Kim KH, Kim JH. Joung JG, et al. Among authors: kim d, kim kh, kim jh. J Am Med Inform Assoc. 2013 Jul-Aug;20(4):637-42. doi: 10.1136/amiajnl-2012-001571. Epub 2013 Apr 18. J Am Med Inform Assoc. 2013. PMID: 23599224 Free PMC article.

4

ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network.

Kim D, Li R, Dudek SM, Ritchie MD. Kim D, et al. BioData Min. 2013 Dec 20;6(1):23. doi: 10.1186/1756-0381-6-23. BioData Min. 2013. PMID: 24359638 Free PMC article.

5

Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction.

Kim D, Shin H, Sohn KA, Verma A, Ritchie MD, Kim JH. Kim D, et al. Among authors: kim jh. Methods. 2014 Jun 1;67(3):344-53. doi: 10.1016/j.ymeth.2014.02.003. Epub 2014 Feb 18. Methods. 2014. PMID: 24561168 Free PMC article.

6

Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction.

Kim D, Joung JG, Sohn KA, Shin H, Park YR, Ritchie MD, Kim JH. Kim D, et al. Among authors: kim jh. J Am Med Inform Assoc. 2015 Jan;22(1):109-20. doi: 10.1136/amiajnl-2013-002481. Epub 2014 Jul 7. J Am Med Inform Assoc. 2015. PMID: 25002459 Free PMC article.

7

Knowledge-driven genomic interactions: an application in ovarian cancer.

Kim D, Li R, Dudek SM, Frase AT, Pendergrass SA, Ritchie MD. Kim D, et al. BioData Min. 2014 Sep 9;7:20. doi: 10.1186/1756-0381-7-20. eCollection 2014. BioData Min. 2014. PMID: 25214892 Free PMC article.

8

A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI).

Kim D, Kim S, Risacher SL, Shen L, Ritchie MD, Weiner MW, Saykin AJ, Nho K; the Alzheimer's Disease Neuroimaging Initiative (ADNI). Kim D, et al. Among authors: kim s. Multimodal Brain Image Anal (2013). 2013;8159:159-169. doi: 10.1007/978-3-319-02126-3_16. Multimodal Brain Image Anal (2013). 2013. PMID: 25383392 Free PMC article.

9

Methods of integrating data to uncover genotype-phenotype interactions.

Ritchie MD, Holzinger ER, Li R, Pendergrass SA, Kim D. Ritchie MD, et al. Among authors: kim d. Nat Rev Genet. 2015 Feb;16(2):85-97. doi: 10.1038/nrg3868. Epub 2015 Jan 13. Nat Rev Genet. 2015. PMID: 25582081 Review.

10

Binning somatic mutations based on biological knowledge for predicting survival: an application in renal cell carcinoma.

Kim D, Li R, Dudek SM, Wallace JR, Ritchie MD. Kim D, et al. Pac Symp Biocomput. 2015:96-107. Pac Symp Biocomput. 2015. PMID: 25592572 Free PMC article.

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