Integrated use of statistical-based approaches and computational intelligence techniques for tumors classification using microarray

DOI10.1155/2015/261013zbMath1462.62666OpenAlexW1500091815WikidataQ59105733 ScholiaQ59105733MaRDI QIDQ1723248

Chia-Ding Hou, Yuehjen E. Shao

Publication date: 19 February 2019

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/261013

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50)

Cites Work

• Unnamed Item
• Unnamed Item
• Fault identification in industrial processes using an integrated approach of neural network and analysis of variance
• A two-stage hybrid procedure for estimating an inverse regression function
• An extensive comparison of recent classification tools applied to microarray data
• Efficient multi-class cancer diagnosis algorithm, using a global similarity pattern
• Practical selection of SVM parameters and noise estimation for SVM regression
• Penalized Discriminant Methods for the Classification of Tumors from Gene Expression Data
• Hybrid test for the hypothesis of symmetry
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Comparison of Discrimination Methods for High Dimensional Data

This page was built for publication: Integrated use of statistical-based approaches and computational intelligence techniques for tumors classification using microarray