Hybrid genetic model with ANOVA for predicting breast neoplasm using METABRIC gene data-Reference-Cited by-同舟云学术

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Hybrid genetic model with ANOVA for predicting breast neoplasm using METABRIC gene data

Published:2021-11 Issue: Volume: Page:
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Thakur Bharti,Gupta Gaurav,Kumar Nagesh

Publisher

Elsevier BV

Subject

General Medicine

Reference41 articles.

1. M. K, A. S, A. W, Abdulrab I. Breast Cancer Diagnosis based on Genetic Algorithms and Neural Networks. Int J Comput Appl. 2018;180(26):42–4.

2. Breast cancer type classification using machine learning;Wu;J Pers Med.,2021

3. Brouckaert O, Rudolph A, Laenen A, Keeman R, Bolla MK, Wang Q, et al. Reproductive profiles and risk of breast cancer subtypes: A multi-center case-only study. Breast Cancer Res. 2017;19(1):1–12

4. A comparative study of different machine learning techniques for brain tumor analysis;Yousef;Mater Today Proc,2021

5. Sensitivity to targeted therapy differs between HER2-amplified breast cancer cells harboring kinase and helical domain mutations in PIK3CA;Garay;Breast Cancer Res.,2021

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1. Machine Learning Techniques for the Prediction of Cyber-Attacks;2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2023-11-03

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