A deep learning approach based on multi-omics data integration to construct a risk stratification prediction model for skin cutaneous melanoma-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A deep learning approach based on multi-omics data integration to construct a risk stratification prediction model for skin cutaneous melanoma

Published:2023-09-07 Issue:17 Volume:149 Page:15923-15938
ISSN:0171-5216
Container-title:Journal of Cancer Research and Clinical Oncology
language:en
Short-container-title:J Cancer Res Clin Oncol

Author:

Li Weijia,Huang Qiao,Peng Yi,Pan Suyue,Hu Min,Wang Pu,He Yuqing

Funder

National Science Foundation of China

Natural Science Foundation of Guangdong Province

Talents Recruitment Grant of “Yangfan Plan” of Guangdong Province

Social Development Science and Technology Project of Dongguan

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00432-023-05358-x.pdf

Reference52 articles.

1. Avogadri F, Zappasodi R, Yang A et al (2014) Combination of Alphavirus replicon particle-based vaccination with immunomodulatory antibodies: therapeutic activity in the B16 melanoma mouse model and immune correlates. Cancer Immunol Res 2:448–458. https://doi.org/10.1158/2326-6066.CIR-13-0220

2. Chang C-Y, Park H, Malone DC et al (2020) Immune checkpoint inhibitors and immune-related adverse events in patients with advanced melanoma. JAMA Netw Open 3:e201611. https://doi.org/10.1001/jamanetworkopen.2020.1611

3. Chaudhary K, Poirion OB, Lu L, Garmire LX (2018) Deep Learning based multi-omics integration robustly predicts survival in liver cancer. Clin Cancer Res 24:1248–1259. https://doi.org/10.1158/1078-0432.CCR-17-0853

4. Chen Y-Y, Chang W-A, Lin E-S et al (2019) Expressions of HLA class II genes in cutaneous melanoma were associated with clinical outcome: bioinformatics approaches and systematic analysis of public microarray and RNA-Seq datasets. Diagnostics (basel) 9:59. https://doi.org/10.3390/diagnostics9020059

5. Chen L, Wen Y, Xiong J et al (2023) An immunogenic cell death-related gene signature reflects immune landscape and predicts prognosis in melanoma independently of BRAF V600E status. Biomed Res Int 2023:1189022. https://doi.org/10.1155/2023/1189022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review of cancer data fusion methods based on deep learning;Information Fusion;2024-08

2. Omics data classification using constitutive artificial neural network optimized with single candidate optimizer;Network: Computation in Neural Systems;2024-05-12

3. Cutaneous Oncology: Strategies for Melanoma Prevention, Diagnosis, and Therapy;Cancer Control;2024-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3