Effective gene expression data generation framework based on multi-model approach

Date

2016-06-01

Author

Sirin, Utku
Erdogdu, Utku
Polat, Faruk
TAN, MEHMET
Alhajj, Reda

Metadata

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Objective: Overcome the lack of enough samples in gene expression data sets having thousands of genes but a small number of samples challenging the computational methods using them.

Subject Keywords

Medicine (miscellaneous), Artificial Intelligence

URI

https://hdl.handle.net/11511/40248

Journal

ARTIFICIAL INTELLIGENCE IN MEDICINE

DOI

https://doi.org/10.1016/j.artmed.2016.05.003

Collections

Department of Computer Engineering, Article

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Citation Formats

U. Sirin, U. Erdogdu, F. Polat, M. TAN, and R. Alhajj, “Effective gene expression data generation framework based on multi-model approach,” ARTIFICIAL INTELLIGENCE IN MEDICINE, pp. 41–61, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40248.