Classification of genetic mutations for cancer treatment using machine learning approaches-Reference-Cited by-同舟云学术

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Classification of genetic mutations for cancer treatment using machine learning approaches

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON FRONTIER OF DIGITAL TECHNOLOGY TOWARDS A SUSTAINABLE SOCIETY
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Author:

Harika Adduri,Leelavathy N.,Sujatha B.

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0113572

Reference28 articles.

1. World Health Organization (2018). Cancer Fact Sheet, Feb.2018 Media Center. Accessed on March 8, 2018 from http://www.who.int/mediacentre/factsheets/fs297/en/.

2. Stewart, B. and Wild, C. (2014). World Cancer Report 2014. International Agency for Research on Cancer (IARC), World Health Organization (WHO). WHO Press.

3. Wong, G (2005). Introduction. In Minna Laine. DNA Microarray data analysis (15–24). Helsinki: CSC-Scientific computing Inc.

4. Multiclass cancer diagnosis using tumor gene expression signatures

5. Omics International (n.d.). Cancer Genomics. Journal of Clinical and Medical Genomics. Accessed on June 15, 2018 from https://www.omicsonline.org/scholarly/cancer-genomics-journalsarticles-ppts-list.php.

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