Abstract
Present study has brought out a comparison of PCA and fuzzy clustering techniques in classifying protein
profiles (chromatogram) of homogenates of different tissue origins: Ovarian, Cervix, Oral cancers, which were acquired using HPLC–LIF (High Performance Liquid Chromatography- Laser Induced Fluorescence) method developed in our laboratory. Study includes 11 chromatogram spectra each from oral, cervical, ovarian cancers as well as healthy volunteers. Generally multivariate analysis like PCA demands clear data that is devoid of day-to-day variation, artifacts due to experimental strategies, inherent uncertainty in pumping procedure which are very common activities during HPLC-LIF experiment. Under these circumstances we demonstrate how
fuzzy clustering algorithm like Gath Geva followed by sammon mapping outperform PCA mapping in classifying various cancers from healthy spectra with classification rate up to 95 % from 60%. Methods are validated using various clustering indexes and shows promising improvement in developing optical pathology like HPLC-LIF for early detection of various cancers in all uncertain conditions with high sensitivity and specificity.
profiles (chromatogram) of homogenates of different tissue origins: Ovarian, Cervix, Oral cancers, which were acquired using HPLC–LIF (High Performance Liquid Chromatography- Laser Induced Fluorescence) method developed in our laboratory. Study includes 11 chromatogram spectra each from oral, cervical, ovarian cancers as well as healthy volunteers. Generally multivariate analysis like PCA demands clear data that is devoid of day-to-day variation, artifacts due to experimental strategies, inherent uncertainty in pumping procedure which are very common activities during HPLC-LIF experiment. Under these circumstances we demonstrate how
fuzzy clustering algorithm like Gath Geva followed by sammon mapping outperform PCA mapping in classifying various cancers from healthy spectra with classification rate up to 95 % from 60%. Methods are validated using various clustering indexes and shows promising improvement in developing optical pathology like HPLC-LIF for early detection of various cancers in all uncertain conditions with high sensitivity and specificity.
Original language | English |
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Title of host publication | 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
Number of pages | 4 |
Publisher | IEEE |
Publication date | 2010 |
Pages | 6361-6364 |
ISBN (Print) | 978-1-4244-4123-5 |
ISBN (Electronic) | 978-1-4244-4124-2 |
DOIs | |
Publication status | Published - 2010 |
Event | 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Buenos Aires, Argentina Duration: 31 Aug 2010 → 4 Sep 2010 Conference number: 32 |
Conference
Conference | 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Number | 32 |
Country/Territory | Argentina |
City | Buenos Aires |
Period | 31/08/2010 → 04/09/2010 |
Series | I E E E Engineering in Medicine and Biology Society. Conference Proceedings |
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ISSN | 2375-7477 |
Keywords
- Former Faculty of Life Sciences