TY - GEN
T1 - Selecting differentially expressed proteomic markers from mass spectrometry data
AU - Wang, Xuena
AU - Zhu, Wei
AU - Glimm, James
AU - Li, Juan
PY - 2005
Y1 - 2005
N2 - High-throughput mass spectrometry and statistical analysis methodologies are promising technologies to aid the medical diagnostics field by detecting the cancer-related proteomic markers. We propose statistical methods to cull the potential markers by ranking them in relations to their power of separability distinguishing cancerous patients from normal persons or among different cancer stages. To assess the training variability, resampling via bootstrap strategy is adopted to select stable markers which show the potential of a large probability to classify specific groups. Selected marker pattern is validated by a combined classifier. Methods are demonstrated by a colon cancer dataset screened by SELDI technology.
AB - High-throughput mass spectrometry and statistical analysis methodologies are promising technologies to aid the medical diagnostics field by detecting the cancer-related proteomic markers. We propose statistical methods to cull the potential markers by ranking them in relations to their power of separability distinguishing cancerous patients from normal persons or among different cancer stages. To assess the training variability, resampling via bootstrap strategy is adopted to select stable markers which show the potential of a large probability to classify specific groups. Selected marker pattern is validated by a combined classifier. Methods are demonstrated by a colon cancer dataset screened by SELDI technology.
UR - https://www.scopus.com/pages/publications/33846915725
M3 - Conference contribution
AN - SCOPUS:33846915725
SN - 0780387406
SN - 9780780387409
T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
SP - 4775
EP - 4778
BT - Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
T2 - 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Y2 - 1 September 2005 through 4 September 2005
ER -