Current Developments in the Analysis of Proteomic Data: Artificial Neural Network Data Mining Techniques for the Identification of Proteomic Biomarkers Related to Breast Cancer Export

@article{citeulike:143188, author = {Lancashire, J. and Shahid, Mian and Ellis, O. and Rees, C. and Ball, R.}, citeulike-article-id = {143188}, citeulike-linkout-0 = {http://dx.doi.org/10.2174/1570164053507808}, citeulike-linkout-1 = {http://www.ingentaconnect.com/content/ben/cp/2005/00000002/00000001/art00002}, doi = {10.2174/1570164053507808}, issn = {1570-1646}, journal = {Current Proteomics}, month = {April}, number = {1}, pages = {15--29}, posted-at = {2005-03-30 23:51:05}, publisher = {Bentham Science Publishers}, title = {Current Developments in the Analysis of Proteomic Data: Artificial Neural Network Data Mining Techniques for the Identification of Proteomic Biomarkers Related to Breast Cancer}, url = {http://dx.doi.org/10.2174/1570164053507808}, volume = {2}, year = {2005} }

TY - JOUR ID - citeulike:143188 L3 - citeulike-article-id:143188 IS - 1 JF - Current Proteomics SN - 1570-1646 EP - 29 TI - Current Developments in the Analysis of Proteomic Data: Artificial Neural Network Data Mining Techniques for the Identification of Proteomic Biomarkers Related to Breast Cancer PB - Bentham Science Publishers VL - 2 SP - 15 AU - Lancashire, J AU - Shahid, Mian AU - Ellis, O AU - Rees, C AU - Ball, R PY - 2005/04// UR - http://dx.doi.org/10.2174/1570164053507808 ER -