Multi‐omics differential gene regulatory network inference for lung adenocarcinoma tumor progression biomarker discovery-Reference-Cited by-同舟云学术

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Multi‐omics differential gene regulatory network inference for lung adenocarcinoma tumor progression biomarker discovery

Published:2022-01-18 Issue:4 Volume:68 Page:
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE Journal

Author:

Tong Yi‐Fan¹,He Qi‐En¹,Zhu Jun‐Xuan¹,Ding En‐Ci²,Song Kai¹

Affiliation:

1. School of Chemical Engineering and Technology Tianjin University Tianjin China

2. Nuclear Medicine Department Tianjin First Central Hospital Tianjin China

Funder

National Key Research and Development Program of China

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.17574

Reference50 articles.

1. Screening for Lung Cancer*

2. Gene expression profiles of ERCC1, TYMS, RRM1, TUBB3 and EGFR in tumor tissue from non‐small cell lung cancer patients;Yu D;Chin Med J (Engl),2014

3. Cancer statistics, 2020

4. Staging Lung Cancer

5. B7‐H3 in combination with regulatory T cell is associated with tumor progression in primary human non‐small cell lung cancer;Jin Y;Int J Clin Exp Pathol,2015

Cited by 2 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. Progressively Helical Multi-Omics Data Fusion GCN and Its Application in Lung Adenocarcinoma;IEEE Access;2023

2. Multiomics Integration at Single-Cell Resolution Using Bayesian Networks: A Case Study in Hepatocellular Carcinoma;OMICS: A Journal of Integrative Biology;2023-01-01

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