Subham Preetam1, Sagar Mondal2, Swati Priya2

  • 1Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science & Technology (DGIST) Dalseong-gun, Daegu 42988, South Korea.

概括

本综述探讨了用于识别卵巢癌 (OC) 瘤标志物的既定和新兴方法. 生物信息学和基因组学方面的进步有助于发现针对性治疗的新生物标志物.