Nonnegative matrix factorization‐based bioinformatics analysis reveals that TPX2 and SELENBP1 are two predictors of the inner sub‐consensuses of lung adenocarcinoma-Reference-Cited by-全球学者库

Nonnegative matrix factorization‐based bioinformatics analysis reveals that TPX2 and SELENBP1 are two predictors of the inner sub‐consensuses of lung adenocarcinoma

Published:2021-11-03 Issue:24 Volume:10 Page:9058-9077
ISSN:2045-7634
Container-title:Cancer Medicine
language:en
Short-container-title:Cancer Medicine

Author:

Wang Haiwei¹²^ORCID,Wang Xinrui¹²,Xu Liangpu¹²,Cao Hua¹²,Zhang Ji³

Affiliation:

1. Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect Fujian Maternity and Child Health HospitalAffiliated Hospital of Fujian Medical University Fuzhou Fujian China

2. Key Laboratory of Technical Evaluation of Fertility Regulation for Non‐human Primate National Health and Family Planning Commission Fuzhou Fujian China

3. State Key Laboratory for Medical Genomics Shanghai Institute of HematologyRui‐Jin Hospital Affiliated to School of MedicineShanghai Jiao Tong University Shanghai China

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cam4.4386

Reference65 articles.

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3. Cancer statistics, 2018

4. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

5. Comprehensive molecular profiling of lung adenocarcinoma

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