remote genetic change contributes to an epigenetic change.

e, various regression algorithms which can rank variables will be

d in this chapter. How they work for the genetic-epigenetic

pattern discovery problem will also be demonstrated using

in this chapter.

er 5 will focus on the problem of discovering the chemicals or

s which reside on a spectra curve. This is a very special data type.

e on which the chemicals or molecules reside is called a baseline

rmally non-analytic and complex. To discover the chemicals or

cules, it is required to estimate and remove this baseline as

y as possible. Therefore, various spectra baseline estimation

ms will be introduced in this chapter. How these algorithms can be

support the robust chemical or molecule discovery will be

ated in this chapter as well. In addition, aligning multiple spectra

mprove the discovery quality will also be discussed.

er 6 will focus on another responsive gene discovery problem.

d of research requires to discover the differentially expressed

an experiment. There are two types of data for this kind of

ons, i.e., the microarray gene expression data and the sequencing

a. Different methods for dealing with these two types of data will

uced in this chapter. In addition to commonly used algorithms,

ter will also introduce the algorithms tailored to special data used

vering differentially expressed genes. For instance, this chapter

duce algorithms which are designed to handle the problems of

iscover the differentially expressed genes for a data set in which

re presented, how to discover the subpopulation formation, i.e.,

dal genes and how to discover the differentially expressed genes

set with insufficient replicate.

er 7 will focus on the whole-genome pattern discovery problem.

sical and advanced sequence comparison approaches will be

d in this chapter. A typical problem will be used for this chapter,

to discover the pattern of the SARS-CoV-2 pandemic data in

the genetic diversity across countries. A key question is whether

genomes from different countries demonstrate a significant