转录组
计算生物学
小桶
基因
生物
基因表达谱
基因表达
医学
微阵列
RNA序列
出处
期刊:Cancer Discovery
[American Association for Cancer Research]
日期:2021-07-01
标识
DOI:10.1158/2159-8290.cd-nb2021-0350
摘要
Researchers used transcriptome analysis to predict patients' responses to treatments with 80% accuracy on average. The procedure relies on identifying pairs of interacting genes that are lethal to cells when both are inactivated or that enable tumors to evade treatments. The scientists showed that their approach accurately predicts patient responses to targeted therapies and checkpoint inhibitors for a variety of cancers.
科研通智能强力驱动
Strongly Powered by AbleSci AI