Literature DB >> 16313847

Distinct serumal proteomic patterns between ascending and descending types of loco-regionally advanced nasopharyngeal carcinoma assessed by surface enhanced laser desorption ionization and artificial neural network analyses.

Xiang Guo1, Su-mei Cao, Jie-kai Yu, Ming-huang Hong, Chang-qing Zhang, Ning-wei Li, Yan-qun Xiang, Chao-nan Qian, Xun Hu, Hua-qing Min, Yi-xin Zeng.   

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Year:  2005        PMID: 16313847

Source DB:  PubMed          Journal:  Chin Med J (Engl)        ISSN: 0366-6999            Impact factor:   2.628


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  3 in total

1.  Can neural network able to estimate the prognosis of epilepsy patients according to risk factors?

Authors:  Kezban Aslan; Hacer Bozdemir; Cenk Sahin; S Noyan Ogulata
Journal:  J Med Syst       Date:  2009-03-28       Impact factor: 4.460

Review 2.  A Review: Proteomics in Nasopharyngeal Carcinoma.

Authors:  Ze-Tan Chen; Zhong-Guo Liang; Xiao-Dong Zhu
Journal:  Int J Mol Sci       Date:  2015-07-08       Impact factor: 5.923

3.  SELDI-TOF MS profiling of serum for detection of nasopharyngeal carcinoma.

Authors:  Yuan-Jiao Huang; Chao Xuan; Bei-Bei Zhang; Ming Liao; Kai-Feng Deng; Min He; Jin-Min Zhao
Journal:  J Exp Clin Cancer Res       Date:  2009-06-17
  3 in total

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