A prototype methodology combining surface-enhanced laser desorption/ionization protein chip technology and artificial neural network algorithms to predict the chemoresponsiveness of breast cancer cell lines exposed to Paclitaxel and Doxorubicin under in v

MIAN, S., BALL, G., HORNBUCKLE, J., HOLDING, F., CARMICHAEL, J., ELLIS, I., ALI, S., LI, G., MCARDLE, S.E., CREASER, C. and REES, R., 2003. A prototype methodology combining surface-enhanced laser desorption/ionization protein chip technology and artificial neural network algorithms to predict the chemoresponsiveness of breast cancer cell lines exposed to Paclitaxel and Doxorubicin under in v. Proteomics, 3 (9), pp. 1725-1737.

Full text not available from this repository.
Item Type: Journal article
Publication Title: Proteomics
Creators: Mian, S., Ball, G., Hornbuckle, J., Holding, F., Carmichael, J., Ellis, I., Ali, S., Li, G., McArdle, S.E., Creaser, C. and Rees, R.
Publisher: Wiley
Place of Publication: Weinheim
Date: 2003
Volume: 3
Number: 9
Identifiers:
NumberType
16110.1002/pmic.2003005265-9853Other
Divisions: Schools > School of Science and Technology
Depositing User: EPrints Services
Date Added: 09 Oct 2015 10:03
Last Modified: 09 Jun 2017 13:18
URI: http://irep.ntu.ac.uk/id/eprint/7084

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