SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer-Reference-Cited by-同舟云学术

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SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer

Published:2019-03-08 Issue: Volume:10 Page:
ISSN:1664-8021
Container-title:Frontiers in Genetics
language:
Short-container-title:Front. Genet.

Author:

Huang Zhi,Zhan Xiaohui,Xiang Shunian,Johnson Travis S.,Helm Bryan,Yu Christina Y.,Zhang Jie,Salama Paul,Rizkalla Maher,Han Zhi,Huang Kun

Publisher

Frontiers Media SA

Subject

Genetics (clinical),Genetics,Molecular Medicine

Reference94 articles.

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2. MARK4 inhibits Hippo signaling to promote proliferation and migration of breast cancer cells;Arash;EMBO Rep.,2017

3. Intratumor heterogeneity and precision of microarray-based predictors of breast cancer biology and clinical outcome;Barry;J. Clin. Oncol.,2010

4. Chaperonin containing TCP-1 protein level in breast cancer cells predicts therapeutic application of a cytotoxic peptide;Bassiouni;Clin. Cancer Res.,2016

5. Descriptive analysis of estrogen receptor (ER)negative, progesterone receptor (PR)-negative, and HER2-negative invasive breast cancer, the so-called triple-negative phenotype - a population-based study from the California Cancer Registry;Bauer;Cancer,2007

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