作者: Cheng Zhu , Chao Wu , Bruce J. Aronow , Anil G. Jegga
DOI: 10.1007/978-1-4614-8778-4_4
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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