1
40
1
-
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
URL Address
<a href="http://doi.org/10.1088/1054-660x/26/3/035702" target="_blank" rel="noreferrer noopener">http://doi.org/10.1088/1054-660x/26/3/035702</a>
Rights
Article information provided for research and reference use only. All rights are retained by the journal listed under publisher and/or the creator(s).
Pages
9-9
Issue
3
Volume
26
Search for Full-text
Locate full-text within NEOMED Library's e-journal collections
<p>Users with a NEOMED Library login can search for full-text journal articles at the following url: <a href="https://libraryguides.neomed.edu/home">https://libraryguides.neomed.edu/home</a></p>
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Raman Spectroscopy Combined With Principal Component Analysis And K Nearest Neighbour Analysis For Non-invasive Detection Of Colon Cancer
Publisher
An entity responsible for making the resource available
Laser Physics
Date
A point or period of time associated with an event in the lifecycle of the resource
2016
2016-03
Subject
The topic of the resource
colon cancer; colorectal-cancer; component analysis; diagnosis; guideline; hemoglobin; k nearest neighbour analysis; operation; Optics; Physics; principal; Raman spectroscopy; regression; serum; spectra; surveillance
Creator
An entity primarily responsible for making the resource
Li X Z; Yang T Y; Li S Q; Wang D L; Song Y T; Zhang S
Description
An account of the resource
This paper attempts to investigate the feasibility of using Raman spectroscopy for the diagnosis of colon cancer. Serum taken from 75 healthy volunteers, 65 colon cancer patients and 60 post-operation colon cancer patients was measured in this experiment. In the Raman spectra of all three groups, the Raman peaks at 750, 1083, 1165, 1321, 1629 and 1779 cm(-1) assigned to nucleic acids, amino acids and chromophores were consistently observed. All of these six Raman peaks were observed to have statistically significant differences between groups. For quantitative analysis, the multivariate statistical techniques of principal component analysis (PCA) and k nearest neighbour analysis (KNN) were utilized to develop diagnostic algorithms for classification. In PCA, several peaks in the principal component (PC) loadings spectra were identified as the major contributors to the PC scores. Some of the peaks in the PC loadings spectra were also reported as characteristic peaks for colon tissues, which implies correlation between peaks in PC loadings spectra and those in the original Raman spectra. KNN was also performed on the obtained PCs, and a diagnostic accuracy of 91.0% and a specificity of 92.6% were achieved.
Identifier
An unambiguous reference to the resource within a given context
<a href="http://doi.org/10.1088/1054-660x/26/3/035702" target="_blank" rel="noreferrer noopener">10.1088/1054-660x/26/3/035702</a>
Format
The file format, physical medium, or dimensions of the resource
Journal Article or Conference Abstract Publication
2016
colon cancer
colorectal-cancer
component analysis
Diagnosis
guideline
hemoglobin
Journal Article or Conference Abstract Publication
k nearest neighbour analysis
Laser Physics
Li S Q
Li X Z
operation
optics
Physics
principal
Raman spectroscopy
Regression
serum
Song Y T
spectra
surveillance
Wang D L
Yang T Y
Zhang S