期刊文献+

英科学家培育出人造器官:20秒可生产1米长动脉

下载PDF
导出
摘要 新浪科技讯 北京时间5月9日消息,据国外媒体报道,英国伦敦大学学院纳米技术和再生医学系科学家亚历山大一塞法利安教授领导一支研究团队致力于在实验室培养人体器官。近来,塞法利安实验室培养出多种人体器官,如鼻子、耳朵、气管、动脉等。科学家认为,实验室培养人造器官必将能够应用于临床实践,让器官捐献成为历史。
作者 彬彬
出处 《北京生物医学工程》 2012年第3期244-244,257,272,共3页 Beijing Biomedical Engineering
  • 相关文献

参考文献9

  • 1Quiroga PtQ. Spike sorting, Rodrigo Quian Quiroga [ J ]. Scholarpedia Revision,2007, #377642 ( 12 ) :3583.
  • 2Lewicki MS. A review of methods for spike sorting:the detection and classification of neural action potentials [ J ]. Network, 1998,9 (4) :53-78.
  • 3Zhang PM, Wu JY, Zhou Y, et al. Spike sorting based on automatic template reconstruction with a partial solution to the overlapping problem[ J]. J Neuroscience Methods,2004,135 ( 1 -2) :55-65.
  • 4James C J, Hesse CW. Independent component analysis for biomedical signals. Physiol Meas,2005,26 ( 1 ) : R15-19.
  • 5Xu GH, Wang J, Zhang Q, et al. A spike detection method in EEG based on improved morphological filter[ J]. Computers in Biology and Medicine ,2007,37 : 1647-1652.
  • 6Kim KH, Kim SJ. A wavelet based method for action potential detection from cxtracellular neural signal recording with low signal-to-noise ratio [ J ]. IEEE Transactions on Biomedical Engineering, 2003,50 ( 8 ) : 999-1011.
  • 7Lu CD, Zhang TY, Du XZ, et al. A robust kernel PCA algorithm, proceedings of the third international conference on machine learning and cybernetics[ C]. Shanghai: [ s. n. ] ,2004:26-29.
  • 8赵峰,张军英.一种KPCA的快速算法[J].控制与决策,2007,22(9):1044-1048. 被引量:14
  • 9Quiroga RQ, ZNadasdy, Ben-Shaul Y. Unsupervised spike detection and sorting with wavelets and super paramagnetic clustering [ J ]. Neural Cornput ,2004 ( 16 ) : 1661-1687.

二级参考文献9

  • 1Schlkopf B,Smola A J,Müller K R.Nonlinear component analysis as a kernel eigenvalue problem[J].Neural Computation,1998,10(6):1299-1319.
  • 2Kim K I,Park S H,Kim H J.Kernel principal component analysis for texture classification[J].IEEE Signal Process Letters,2001,8(2):39-41.
  • 3Koutsogiannis G S,Soraghan J J.Selection of number of principal components for de-noising signals[J].Electron Letters,2002,38(13):664-666.
  • 4Darchapak C,Kanae S,Yang Z J.Kernel principal component regression with application to nonlinear prediction[R].Research Reports on Information Science Kyushu University,2003,8(1):19-23.
  • 5Rosipal R,Girolami M.An expectation-maximization approach to nonlinear component analysis[J].Neural Computation,2001,13(1):505-510.
  • 6Zheng W M,Zou C R,Zhao L.An improveld algorithm for kernel principal component analysis[J].Neural Processing Letters,2005,22(1):49-56.
  • 7Baudat G,Anouar F.Kernel-based methods and function approximation[C].Proc of the International Joint Conf on Neural Networks.Piscataway:Institute of Electrical and Electronics Engineers Inc,2001:1244-1249.
  • 8Cheng Y P.Theory of matrix[M].Xi'an:Northwest University Press,1989.
  • 9Mike S,Schlkopf B,Smola A J.Kernel PCA and de-noising in feature space[C].In Advances in Neural Information Processing Systems.Cambridge:MTI Press,1999:524-536.

共引文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部