Uncovering driver genes in breast cancer through an innovative machine learning mutational analysis method-Reference-Cited by-同舟云学术

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Uncovering driver genes in breast cancer through an innovative machine learning mutational analysis method

Published:2024-03 Issue: Volume:171 Page:108234
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Taheri Golnaz,Habibi Mahnaz^ORCID

Publisher

Elsevier BV

Reference71 articles.

1. Patterns of cancer incidence, mortality, and prevalence across five continents: defining priorities to reduce cancer disparities in different geographic regions of the world;Kamangar;J. Clin. Oncol.,2006

2. Breast cancer epidemiology and risk factors;Rojas;Clin. Obstet. Gynecol.,2016

3. Genome-wide association analysis in east Asians identifies breast cancer susceptibility loci at 1q32. 1, 5q14. 3 and 15q26. 1;Cai;Nature Genet.,2014

4. Preoperative chemotherapy in primary operable breast cancer: results from the European organization for research and treatment of cancer trial 10902;Van;J. Clin. Oncol.,2001

5. The predominant role of surgery in the prevention and new trends in the surgical treatment of women with BRCA1/2 mutations;Fatouros;Ann. Surg. Oncol.,2008

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