fficiency [Wang and Kadarmideen, 2020].

her typical issue is the interaction between the genetic signatures

pigenetic signatures such as the methylation sites and the DNA

mbers [Comai, 2000; Chang, et al., 2003; Chari, et al., 2010;

nd Jones, 2011; Sandoval and Esteller, 2012; You and Jones,

n this type of research, it has been found that the epigenetic

s closely interact with the genetic signatures for certain disease

ment. Therefore combined or integrated studies have been carried

searching and discovering of the genetic-epigenetic interplay in

on with cancers as well as cellular functions. The studies have

these two types of signatures either separately followed by a

cy analysis or a joint cluster analysis [Chari, et al., 2010; Pacheco,

11; Sun, et al., 2011; Kresse, et al., 2012; Ping, et al., 2015].

udies of the genetic-epigenetic interplay have covered the heart

evelopment [Akerberg and Pu, 2019], the colorectal cancer drug

[Yeh, et al, 2020] and the gestational diabetes mellitus [Rosik, et

0]. The research of the genetic-epigenetic interplay is still

ng when more and more complicated experiments have been

d.

pectral molecular discovery problem

anced scientific research of the light and spectroscopy analysis

n used in many areas including biology. A spectrum is composed

ontinuous light waves. Many biology researches employ the

technology for the discovery of novel chemicals and drugs

et al., 2007; Cho, et al., 2008; Kim, et al., 2008; de Sanctis, et

Pitteri, et al., 2011; Baygi, et al., 2016; Kumamoto, et al., 2019].

ance, the singular spectrum analysis and automated baseline

n have been used to discover novel chemicals based on the NMR

opy [de Sanctis, et al., 2011]. To analyse how breast cancer is

d, the mass spectroscopy has been used to discover and verify

c signatures of breast cancer [Pitteri, et al., 2011]. To examine

ncer cell lines, different machine learning algorithms have been