Application of Machine Learning in Developing a Novelty Five-Pseudogene Signature to Predict Prognosis of Head and Neck Squamous Cell Carcinoma: A New Aspect of “Junk Genes” in Biomedical Practice-Reference-Cited by-同舟云学术

Application of Machine Learning in Developing a Novelty Five-Pseudogene Signature to Predict Prognosis of Head and Neck Squamous Cell Carcinoma: A New Aspect of “Junk Genes” in Biomedical Practice

Published:2020-04-01 Issue:4 Volume:39 Page:709-723
ISSN:1044-5498
Container-title:DNA and Cell Biology
language:en
Short-container-title:DNA and Cell Biology

Author:

Xing Lu¹,Zhang Xiaoqi²,Guo Mingzhu¹,Zhang Xiaoqian³,Liu Feng¹

Affiliation:

1. School and Hospital of Stomatology, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Jinan, Shandong, China.

2. Sichuan University, West China Hospital of Stomatology, Department of Orthodontontics, State Key Laboratory of Oral Disease, National Clinical Research Centre of Oral Disease, Chengdu, China.

3. Department of Stomatology, Haiyuan College of Kunming Medical University, Kunming, China.

Publisher

Mary Ann Liebert Inc

Subject

Cell Biology,Genetics,Molecular Biology,General Medicine

Link

https://www.liebertpub.com/doi/pdf/10.1089/dna.2019.5272

Reference44 articles.

1. Competing endogenous RNA (ceRNA) cross talk and language in ceRNA regulatory networks: A new look at hallmarks of breast cancer

2. Oncoproteomic and gene expression analyses identify prognostic biomarkers for second primary malignancy in patients with head and neck squamous cell carcinoma

3. New insights into long noncoding RNAs and pseudogenes in prognosis of renal cell carcinoma

4. An integrated encyclopedia of DNA elements in the human genome

5. Identification of a RNA-Seq Based 8-Long Non-Coding RNA Signature Predicting Survival in Esophageal Cancer

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