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Current State of Methods, Models, and Information Technologies of Genes Expression Profiling Extraction: A Review

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Lecture Notes in Computational Intelligence and Decision Making (ISDMCI 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 77))

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Abstract

An application of both the DNA microchips tests or RNA molecules sequencing experiments allows us to form the high-dimensional matrix of genes expressions, values of which are proportional to the number of the appropriate type of genes that matched the respectively investigated sample. In the general instance, the number of genes can achieve tens of thousands of ones. This fact calls the necessity to extract the genes which are able to recognize the examined samples with a high resolvable level. In this review, we analyze the current state of works focused on genes expression profiling extraction based on the application of both single methods and hybrid models. The conducted analysis has allowed us to allocate the advantages and shortcomings of the existing techniques and form the tasks which should be solved in this subject area to improve the objectivity of gene expression profiling extraction considering the type of the investigated samples.

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Authors and Affiliations

  1. Ukrainian Academy of Printing, Lviv, Ukraine

    Lyudmyla Yasinska-Damri & Bohdan Durnyak

  2. Jan Evangelista Purkyně University in Ústí nad Labem, Ústí nad Labem, Czech Republic

    Sergii Babichev

  3. Kherson State University, Kherson, Ukraine

    Sergii Babichev

  4. Uzhhorod National University, Uzhhorod, Ukraine

    Ihor Liakh

Authors
  1. Lyudmyla Yasinska-Damri
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  2. Ihor Liakh
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  3. Sergii Babichev
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  4. Bohdan Durnyak
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Corresponding author

Correspondence to Sergii Babichev .

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Editors and Affiliations

  1. Department of Physics, Kherson State University, Kherson, Ukraine

    Sergii Babichev

  2. Department of Informatics and Computer Science, Kherson National Technical University, Kherson, Ukraine

    Volodymyr Lytvynenko

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Yasinska-Damri, L., Liakh, I., Babichev, S., Durnyak, B. (2022). Current State of Methods, Models, and Information Technologies of Genes Expression Profiling Extraction: A Review. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 77. Springer, Cham. https://doi.org/10.1007/978-3-030-82014-5_5

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