Integrative Bioinformatics Analysis of Transcriptomic Data Reveals Hub Genes as Diagnostic Biomarkers for Non-Muscle vs. Muscle Invasive Bladder Cancer-Reference-Cited by-同舟云学术

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Integrative Bioinformatics Analysis of Transcriptomic Data Reveals Hub Genes as Diagnostic Biomarkers for Non-Muscle vs. Muscle Invasive Bladder Cancer

Published:2022-09-27 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
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Author:

Sarafidis Michail¹,Lambrou George I.²,Matsopoulos George K.³,Koutsouris Dimitrios¹

Affiliation:

1. National Technical University of Athens,Biomedical Engineering Laboratory,Athens,Greece

2. National & Kapodistrian University of Athens,“Choremeio” Research Laboratory,Athens,Greece

3. National Technical University of Athens,Laboratory of Biomedical Optics and Applied Biophysics,Athens,Greece

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9926747/9926739/09926824.pdf?arnumber=9926824

Reference43 articles.

1. FOXM1 predicts disease progression in non-muscle invasive bladder cancer

2. EZH2 in Bladder Cancer, a Promising Therapeutic Target

3. The prognostic value of cytokeratin and extracellular collagen expression in urinary bladder cancer

4. Discovering Therapeutic Protein Targets for Bladder Cancer Using Proteomic Data Analysis

5. CAV1 polymorphisms rs1049334, rs1049337, rs7804372 might be the potential risk in tumorigenicity of urinary cancer: A systematic review and meta-analysis

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