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DOI :
10.3791/60502-v
January 12th, 2020
Chapters
0:04
Title
0:44
Prediction of Clinical Outcomes from Genomic Profiles (PRECOG)
1:22
Cancer Science Institute of Singapore Database (CSIOVDB) and Gene Expression Across Normal and Tumor Tissue (GENT)
2:30
cBioPortal
3:30
Drosophila Dissection and Staining
7:23
Results: Representative Bioinformatic Approaches to Understanding the Role of Notch Signaling in Ovarian Cancer
8:42
Conclusion
生物信息学是处理大规模数据集的有用方法。通过实施生物信息学方法,研究人员可以快速、可靠、高效地获得有见地的应用和科学发现。本文介绍了生物信息学在卵巢癌研究中的运用。它还通过实验成功验证了生物信息学的发现。
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