计算机科学 ›› 2023, Vol. 50 ›› Issue (4): 369-387.doi: 10.11896/jsjkx.220500114
胡学钢1,2,3, 李扬1,2,3, 王磊4,5, 李培培1,2,3, 尤著宏6
HU Xuegang1,2,3, LI Yang1,2,3, WANG Lei4,5, LI Peipei1,2,3, YOU Zhuhong6
摘要: 生物标志物识别是实现“精准医疗”的一大基础,其对复杂疾病诊断、判断疾病分期及评价新药或新疗法在目标人群中的安全性和有效性具有重要作用。作为生物标志物智能识别关键技术,环状RNA与疾病关联预测是深入评测和衡量被试个体生物学过程、病理学过程及干预病理学反应的关键,是践行“精准医疗”的有效手段和途径之一。文中对基于生物大数据挖掘的环状RNA-疾病关联预测计算模型进行了全面梳理和展望。具体地,首先从环状RNA的研究背景、理化特性、功能等方面探讨了环状RNA与疾病之间的关系;然后调研了环状RNA和疾病公共数据库资源;接着从智能计算的角度梳理了环状RNA-疾病关联预测的4类计算方法,并分析了其优势与不足;最后讨论了环状RNA-疾病关联预测问题目前面临的挑战和未来可能的研究方向。
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