Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Chung-Jui Tu"'
Autor:
Chung-Jui Tu, 杜崇睿
94
Following the rapid development of bioinformatics technology, the DNA microarray technique has become an essential technique in biomedical science. We can with it, different gene expression can correctly be classified and predicted, which is
Following the rapid development of bioinformatics technology, the DNA microarray technique has become an essential technique in biomedical science. We can with it, different gene expression can correctly be classified and predicted, which is
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/06789298922272210819
Autor:
Gau-Tyan, Lin, Hung-Fu, Tseng, Chen-Kang, Chang, Li-Yeh, Chuang, Chih-Shan, Liu, Cheng-Hong, Yang, Chung-Jui, Tu, Eng-Chi, Wang, Hsiu-Fen, Tan, Chia-Che, Chang, Cheng-Hao, Wen, Hsiang-Chi, Chen, Hsueh-Wei, Chang
Publikováno v:
The Chinese journal of physiology. 51(1)
Osteoporosis is a major public health problem, mainly quantified by low BMD. Eleven polymorphisms were investigated in this study; TNFalpha-857 (rs1799724), TGFbeta1-509 (rs1800469), osteocalcin (rs1800247), TNFalpha-308 (rs1800629), PTH BstB I (rs62
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::de2a3f68fe7db582d482b91f6e9617ea
https://pubmed.ncbi.nlm.nih.gov/18551993
https://pubmed.ncbi.nlm.nih.gov/18551993
Publikováno v:
Computational biology and chemistry. 32(1)
Gene expression profiles, which represent the state of a cell at a molecular level, have great potential as a medical diagnosis tool. Compared to the number of genes involved, available training data sets generally have a fairly small sample size in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af26ad4616e63124241d6053388248d4
https://pubmed.ncbi.nlm.nih.gov/18023261
https://pubmed.ncbi.nlm.nih.gov/18023261
Publikováno v:
JCIS
The feature selection process can be considered a problem of global combinatorial optimization in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in acceptable classification accuracy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::653c61d584375a7bc2d9fb0b65421341
https://doi.org/10.2991/jcis.2006.130
https://doi.org/10.2991/jcis.2006.130
Publikováno v:
IAENG International Journal of Computer Science; Mar2007, Vol. 33 Issue 1, p111-116, 6p
Publikováno v:
International MultiConference of Engineers & Computer Scientists 2006; 2006, p138-143, 6p