posted on 2019-09-20, 09:12authored byKhawla Tadist, Said Najah, Nikola S. Nikolov, Fatiha Mrabti, Azeddine Zahi
In the era of accelerating growth of genomic data, feature-selection techniques are
believed to become a game changer that can help substantially reduce the complexity
of the data, thus making it easier to analyze and translate it into useful information. It
is expected that within the next decade, researchers will head towards analyzing the
genomes of all living creatures making genomics the main generator of data. Feature
selection techniques are believed to become a game changer that can help substantially
reduce the complexity of genomic data, thus making it easier to analyze it and
translating it into useful information. With the absence of a thorough investigation of
the field, it is almost impossible for researchers to get an idea of how their work relates
to existing studies as well as how it contributes to the research community. In this
paper, we present a systematic and structured literature review of the feature-selection
techniques used in studies related to big genomic data analytics