The expression distribution of the gene 200865_at in the breast cancer data. The

des refer to Figure 6.24.

expression bimodality pattern discovery

on to the heterogeneous gene expression pattern discovery

the gene expression bimodality pattern discovery problem is

mportant subject in gene expression pattern discovery. This is due

t that many human-related diseases as well as treatments such as

can hardly demonstrate uniform genetic responses to a stress,

y in some therapeutic exercises [Farahani, et al., 2007; Ertel, et

Ranade, et al., 2010; Sun, et al., 2010]. The main player for this

non to occur is the bio-medical diversity across populations as

across people. The most observable phenomenon is the

ation formation problem due to the intrinsic diverse biological

human [Basu, et al., 2011; Krejci and Grim, 2010; Emmink, et

He, et al., 2011; Trujillo, et al., 2011].

problem of the inconsistent responses across replicates or the

ation formation has been well studied in the biomedicine area

th the fast development of the high-throughput gene expression

gies. To well understand and interpret the issue of the genetic

diversity within a population of patients, the subpopulation

n is thus a critical subject to study [Wappett, et al., 2016]. The

studying such type of problems is called the gene expression

ty pattern discovery problem.

main step in a gene expression bimodality pattern discovery

is the bimodality test for a population of data. As one of many

atistical test approaches, the bimodality test has been widely used