Ritchie MD - Search Results

1

Preparing next-generation scientists for biomedical big data: artificial intelligence approaches.

Moore JH, Boland MR, Camara PG, Chervitz H, Gonzalez G, Himes BE, Kim D, Mowery DL, Ritchie MD, Shen L, Urbanowicz RJ, Holmes JH. Moore JH, et al. Among authors: ritchie md. Per Med. 2019 May 1;16(3):247-257. doi: 10.2217/pme-2018-0145. Epub 2019 Feb 14. Per Med. 2019. PMID: 30760118 Free PMC article. Review.

2

Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity.

Ritchie MD, Hahn LW, Moore JH. Ritchie MD, et al. Genet Epidemiol. 2003 Feb;24(2):150-7. doi: 10.1002/gepi.10218. Genet Epidemiol. 2003. PMID: 12548676

3

Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions.

Hahn LW, Ritchie MD, Moore JH. Hahn LW, et al. Among authors: ritchie md. Bioinformatics. 2003 Feb 12;19(3):376-82. doi: 10.1093/bioinformatics/btf869. Bioinformatics. 2003. PMID: 12584123

4

STUDENTJAMA. The challenges of whole-genome approaches to common diseases.

Moore JH, Ritchie MD. Moore JH, et al. Among authors: ritchie md. JAMA. 2004 Apr 7;291(13):1642-3. doi: 10.1001/jama.291.13.1642. JAMA. 2004. PMID: 15069055 No abstract available.

5

Basic statistics.

Moore JH, Thornton TA, Ritchie MD. Moore JH, et al. Among authors: ritchie md. Curr Protoc Hum Genet. 2003 Aug;Appendix 3:Appendix 3M. doi: 10.1002/0471142905.hga03ms37. Curr Protoc Hum Genet. 2003. PMID: 18428338 Review.

6

Filling the gap between biology and computer science.

Aguilar-Ruiz JS, Moore JH, Ritchie MD. Aguilar-Ruiz JS, et al. Among authors: ritchie md. BioData Min. 2008 Jul 17;1(1):1. doi: 10.1186/1756-0381-1-1. BioData Min. 2008. PMID: 18822148 Free PMC article.

7

The central role of biological data mining in connecting diverse disciplines.

Moore JH, Ritchie MD. Moore JH, et al. Among authors: ritchie md. BioData Min. 2013 Aug 12;6(1):14. doi: 10.1186/1756-0381-6-14. BioData Min. 2013. PMID: 23937773 Free PMC article. No abstract available.

8

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. Among authors: ritchie md. BioData Min. 2013 Dec 20;6(1):23. doi: 10.1186/1756-0381-6-23. BioData Min. 2013. PMID: 24359638 Free PMC article.

9

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: ritchie md. 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.

10

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: ritchie md. 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.

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