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

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Mian, S, Ball, G ORCID: https://orcid.org/0000-0001-5828-7129, Hornbuckle, J, Holding, F, Carmichael, J, Ellis, I, Ali, S, Li, G, McArdle, SE ORCID: https://orcid.org/0000-0001-6929-9782, Creaser, C and Rees, R ORCID: https://orcid.org/0000-0002-4574-4746, 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.

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Official URL: http://dx.doi.org/16110.1002/pmic.2003005265-9853

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:	Number Type 16110.1002/pmic.2003005265-9853 Other
Divisions:	Schools > School of Science and Technology
Record created by:	EPrints Services
Date Added:	09 Oct 2015 10:03
Last Modified:	11 Oct 2021 13:10
URI:	https://irep.ntu.ac.uk/id/eprint/7084