Computational Approaches for Human Disease Gene Prediction and Ranking

作者: Cheng Zhu , Chao Wu , Bruce J. Aronow , Anil G. Jegga

DOI: 10.1007/978-1-4614-8778-4_4

关键词:

摘要: While candidate gene association studies continue to be the most practical and frequently employed approach in disease investigation for complex disorders, selecting suitable genes test is a challenge. There are several computational approaches available prioritizing genes. A majority of these tools based on guilt-by-association principle where novel identified prioritized either functional or topological similarity known In this chapter we review prioritization criteria algorithms along with some use cases that demonstrate how can used identifying ranking human

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