Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations

• Päätekijät: Zhi Huang (Tekijä), Travis S. Johnson (Tekijä), Zhi Han (Tekijä), Bryan Helm (Tekijä), Sha Cao (Tekijä), Chi Zhang (Tekijä), Paul Salama (Tekijä), Maher Rizkalla (Tekijä), Christina Y. Yu (Tekijä), Jun Cheng (Tekijä), Shunian Xiang (Tekijä), Xiaohui Zhan (Tekijä), Jie Zhang (Tekijä), Kun Huang (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: BMC, 2020-04-01T00:00:00Z.
• Aiheet: article
• Linkit: Connect to this object online.

Abstract Background Recent advances in kernel-based Deep Learning models have introduced a new era in medical research. Originally designed for pattern recognition and image processing, Deep Learning models are now applied to survival prognosis of cancer patients. Specifically, Deep Learning version...