최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기Genomics & informatics, v.5 no.4, 2007년, pp.168 - 173
Kim, Yoon-Hee (Department of Biostatistics and Epidemiology, School of Public Health, Seoul National University) , Kim, Ho (Inherited Disease Research Branch, NHGRI)
In previous nuclear genomic association studies, Random Forests (RF), one of several up-to-date machine learning methods, has been used successfully to generate evidence of association of genetic polymorphisms with diseases or other phenotypes. Compared with traditional statistical analytic methods,...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
Bureau, A., Dupuis, J., Falls, K., Lunetta, K.L., Hayward, B., Keith, T.P., and Van Eerdewegh, P. (2005). Identifying SNPs predictive of phenotype using random forests. Genet Epidemiol. 28, 171-82
Bureau, A., Dupuis, J., Hayward, B., Falls, K., and Van Eerdewegh, P. (2003). Mapping complex traits using Random Forests. BMC Genet. 4 Suppl 1, S64
Burger, G., Gray, M.W., and Lang, B.F. (2003). Mitochondrial genomes: anything goes. Trends Genet. 19, 709-16
Chinnery, P.F., Howell, N., Andrews, R.M., and Turnbull, D.M. (1999). Clinical mitochondrial genetics. J Med Genet. 36, 425-36
Cho, Y.M., Ritchie, M.D., Moore, J.H., Park, J.Y., Lee, K.U., Shin, H.D., Lee, H.K., and Park, K.S. (2004). Multifactor-dimensionality reduction shows a two-locus interaction associated with Type 2 diabetes mellitus. Diabetologia. 47, 549-54
Diaz-Uriarte, R., and Alvarez de Andres, S. (2006). Gene selection and classification of microarray data using random forest. BMC Bioinformatics. 7, 3
Grajski, K. A., Breiman, L., Viana Di Prisco, G., and Freeman, W.J. (1986). Classification of EEG spatial patterns with a tree-structured methodology: CART. IEEE Trans Biomed Eng. 33, 1076-86
Guo, L.J., Oshida, Y., Fuku, N., Takeyasu, T., Fujita, Y., Kurata, M., Sato, Y., Ito, M., and Tanaka, M. (2005). Mitochondrial genome polymorphisms associated with type-2 diabetes or obesity. Mitochondrion. 5, 15-33
Ingman, M., Kaessmann, H., Paabo, S., and Gyllensten, U. (2000). Mitochondrial genome variation and the origin of modern humans. Nature 408, 708-13
Kahn, C.R., Vicent, D., and Doria, A. (1996). Genetics of non-insulin-dependent (type-II) diabetes mellitus. Annu Rev Med. 47, 509-31
Kato, Y., Miura, Y., Inagaki, A., Itatsu, T., and Oiso, Y. (2002). Age of onset possibly associated with the degree of heteroplasmy in two male siblings with diabetes mellitus having an A to G transition at 3243 of mitochondrial DNA. Diabet Med. 19, 784-6
Ladoukakis, E.D., and Eyre-Walker, A. (2004). Evolutionary genetics: direct evidence of recombination in human mitochondrial DNA. Heredity. 93, 321
Lee, J.W., Lee, J.B., Park, M., and Song, S.H. (2005). An extensive comparison of recent classification tools applied to microarray data. Comp Stat & Data Analysis. 48, 869-885
Lunetta, K.L., Hayward, L.B., Segal, J., and Van Eerdewegh, P. (2004). Screening large-scale association study data: exploiting interactions using random forests. BMC Genet. 5, 32
Matsunaga, H., Tanaka, Y., Tanaka, M., Gong, J.S., Zhang, J., Nomiyama, T., Ogawa, O., Ogihara, T., Yamada, Y., Yagi, K., and Kawamori, R. (2001). Antiatherogenic mitochondrial genotype in patients with type 2 diabetes. Diabetes Care. 24, 500-3
McKinney, B.A., Reif, D.M., Ritchie, M.D., and Moore, J.H. (2006). Machine learning for detecting gene-gene interactions: a review. Appl Bioinformatics. 5, 77-88
Mukae, S., Aoki, S., Itoh, S., Sato, R., Nishio, K., Iwata, T., and Katagiri, T. (2003). Mitochondrial 5178A/C genotype is associated with acute myocardial infarction. Circ J. 67, 16-20
Niemi, A.K., Hervonen, A., Hurme, M., Karhunen, P.J., Jylha, M., and Majamaa, K. (2003). Mitochondrial DNA polymorphisms associated with longevity in a Finnish population. Hum Genet. 112, 29-33
Nigou, M., Parfait, B., Clauser, E., and Olivier, J.L. (1998). Detection and quantification of the A3243G mutation of mitochondrial DNA by ligation detection reaction. Mol Cell Probes. 12, 273-82
Ohkubo, K., Yamano, A., Nagashima, M., Mori, Y., Anzai, K., Akehi, Y., Nomiyama, R., Asano, T., Urae, A., and Ono, J. (2001). Mitochondrial gene mutations in the tRNA(Leu(UUR)) region and diabetes: prevalence and clinical phenotypes in Japan. Clin Chem. 47, 1641-8
Poulton, J., Luan, J., Macaulay, V., Hennings, S., Mitchell, J., and Wareham, N.J. (2002). Type 2 diabetes is associated with a common mitochondrial variant: evidence from a population-based case-control study. Hum Mol Genet. 11, 1581-3
Rosenbloom, A.L., Joe, J.R., Young, R.S., and Winter, W.E. (1999). Emerging epidemic of type 2 diabetes in youth. Diabetes Care. 22, 345-54
Shi, T., Seligson, D., Belldegrun, A.S., Palotie, A., and Horvath, S. (2005). Tumor classification by tissue microarray profiling: random forest clustering applied to renal cell carcinoma. Mod Pathol, 18, 547-57
Suzuki, S. (2004). Diabetes mellitus with mitochondrial gene mutations in Japan. Ann N Y Acad Sci. 1011, 185-92
Suzuki, S., Oka, Y., Kadowaki, T., Kanatsuka, A., Kuzuya, T., Kobayashi, M., Sanke, T., Seino, Y., and Nanjo, K. (2003). Clinical features of diabetes mellitus with the mitochondrial DNA 3243 (A-G) mutation in Japanese: maternal inheritance and mitochondria-related complications. Diabetes Res Clin Pract. 59, 207-17
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.