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Chapter 2

Responsive Gene Discovery

phenomenon change will usually occur in a species after an

propriate stress has been applied. What researchers want to

ow is how an observed phenomenon change in a species is

ermined by or associated with some genetic function. It

s been well-researched that it is the genetic function of a

ecies that responds to a stress directly and leads to the

served phenomenon change. Rather than employing all of

netic elements, such as genes, a biological system only

ivates a small proportion of genes to respond to a stress.

oreover, different genes may have different strengths to

pond to a stress. Filtering out non-responsive genes to

cover responsive genes thus plays a key role in researching

d investigating the mechanism by which a biology system

ponds to a stress. From this, interpreting, explaining and

rapolating the discovered mechanism can follow. No

ubt, computational models are required to help discover

se responsive genes through a research of the pattern by

ich a phenomenon change is associated with genetic

nctions. And the unique function of the computational

dels constructed by machine learning algorithms can

ver be ignored and neglected for this purpose. A task of

ponsive gene discovery normally has no a priori