Integrative analyses of transcriptome sequencing identify novel functional lncRNAs in esophageal squamous cell carcinoma

• Main Authors: Li, C.-Q, Huang, G.-W, Wu, Z.-Y
• Other Authors: CANCER SCIENCE INSTITUTE OF SINGAPORE
• Format: Article
• Published: Springer Nature 2020
• Subjects: E1A associated p300 protein; long untranslated RNA; transcriptome; animal tissue; Article; bioinformatics; cancer patient; cancer prognosis; cancer survival; cell migration; cell proliferation; controlled study; esophageal cancer cell line; esophageal squamous cell carcinoma; female; high throughput sequencing; human; human cell; human tissue; mouse; nonhuman; priority journal; protein analysis; protein expression; regulatory RNA sequence; RNA analysis; survival time
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/183547
• Institution: National University of Singapore

10.1038/oncsis.2017.1