Dataset Information

Pancreatic cancer biomarker detection by two support vector strategies for recursive feature elimination.

ABSTRACT:

Aim

Pancreatic cancer is one of the worst malignant tumors in prognosis. Therefore, to reduce the mortality rate of pancreatic cancer, early diagnosis and prompt treatment are particularly important.

Results

We put forward a new feature-selection method that was used to find clinical markers for pancreatic cancer by combination of Support Vector Machine Recursive Feature Elimination (SVM-RFE) and Large Margin Distribution Machine Recursive Feature Elimination (LDM-RFE) algorithms. As a result, seven differentially expressed genes were predicted as specific biomarkers for pancreatic cancer because of their highest accuracy of classification on cancer and normal samples.

Conclusion

Three (MMP7, FOS and A2M) out of the seven predicted gene markers were found to encode proteins secreted into urine, providing potential diagnostic evidences for pancreatic cancer.

SUBMITTER: Wang Y

PROVIDER: S-EPMC6737501 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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Publications

Pancreatic cancer biomarker detection by two support vector strategies for recursive feature elimination.

Wang Yan Y Liu Keke K Ma Qin Q Tan Yongfei Y Du Wei W Lv Yidan Y Tian Yuan Y Wang Hao H

Biomarkers in medicine 20190215 2

<h4>Aim</h4>Pancreatic cancer is one of the worst malignant tumors in prognosis. Therefore, to reduce the mortality rate of pancreatic cancer, early diagnosis and prompt treatment are particularly important.<h4>Results</h4>We put forward a new feature-selection method that was used to find clinical markers for pancreatic cancer by combination of Support Vector Machine Recursive Feature Elimination (SVM-RFE) and Large Margin Distribution Machine Recursive Feature Elimination (LDM-RFE) algorithms. ...[more]

PMID: 30767554

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Dataset Information

Pancreatic cancer biomarker detection by two support vector strategies for recursive feature elimination.

Aim

Results

Conclusion

Publications

Pancreatic cancer biomarker detection by two support vector strategies for recursive feature elimination.

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