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Chapter 4

netic-Epigenetic Interplay Discovery

biological system is very complex, in which different

mponents interplay all the time. The interactions include

ne-gene interaction, gene-metabolite interaction, pathway

eraction and genetic-epigenetic interaction. It has been

und in several studies that the genetic-epigenetic interplay

ay contribute to the development of several diseases. How

genetic-epigenetic interplay contributes to the disease

velopment thus requires descent research about how

netic signatures and epigenetic signatures interplay. To

termine how thousands of epigenetic signatures are

ociated with a genetic signature and to determine how

ousands of genetic signatures are associated with an

genetic signature is a regression problem. Importantly, the

netic-epigenetic interplay may happen between local or

mote contributing components. Therefore, it is desirable to

cover and focus on the most important signatures among

ousands of signatures instead of scanning every

ntributing signature. In this way, whether the interplay

ppens locally or remotely can be discovered. Therefore, a

gression analysis algorithm with well-equipped variable

nking mechanism is desirable. Only in such models, the

antitative evidence of local interplay or remote interplay

tween genetic signatures and epigenetic signatures can be

ll-researched. This chapter will introduce several

gression algorithms which can rank variables for genetic-

genetic interplay pattern discovery.