Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Sergii Babichev"'
Publikováno v:
IEEE Access, Vol 12, Pp 28437-28448 (2024)
This manuscript explores the application of deep learning (DL) techniques for classifying gene expression data. A key aspect of our research is the comparative analysis of various DL neural network architectures, including Convolution Neural Networks
Externí odkaz:
https://doaj.org/article/9df7f1efa24149c398a5838aa0798882
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11823 (2023)
The importance of gene expression data processing in solving the classification task is determined by its ability to discern intricate patterns and relationships within genetic information, enabling the precise categorization and understanding of var
Externí odkaz:
https://doaj.org/article/4d4f5906dd80486cae896e897baf32d4
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 6022 (2023)
One of the current focuses of modern bioinformatics is the development of hybrid models to process gene expression data, in order to create diagnostic systems for various diseases. In this study, we propose a solution to this problem that combines an
Externí odkaz:
https://doaj.org/article/0720078ed97b4c96970e8881052bb0fe
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11795 (2022)
The development of hybrid models focused on gene expression data processing for the allocation of differentially expressed and mutually correlated genes is one of the current directions in modern bioinformatics. The solution to this problem can allow
Externí odkaz:
https://doaj.org/article/1a30bb1a723144cca54cf5968a88f3f7
Publikováno v:
Symmetry, Vol 13, Iss 10, p 1812 (2021)
The problems of gene regulatory network (GRN) reconstruction and the creation of disease diagnostic effective systems based on genes expression data are some of the current directions of modern bioinformatics. In this manuscript, we present the resul
Externí odkaz:
https://doaj.org/article/6858910598be4c57bde23518fb326870
Autor:
Sergii Babichev, Jiří Škvor
Publikováno v:
Diagnostics, Vol 10, Iss 8, p 584 (2020)
In this paper, we present the results of the research concerning extraction of informative gene expression profiles from high-dimensional array of gene expressions considering the state of patients’ health using clustering method, ML-based binary c
Externí odkaz:
https://doaj.org/article/71fa1c9cf661402ca900ac311a82d4a1
Autor:
Sergii Babichev
Publikováno v:
Data, Vol 3, Iss 4, p 48 (2018)
This paper presents the results of research concerning the evaluation of stability of information technology of gene expression profiles processing with the use of gene expression profiles, which contain different levels of noise components. The info
Externí odkaz:
https://doaj.org/article/ce06708f773b46d9a8f0b312dffc13f6
Publikováno v:
Acta Montanistica Slovaca. :444-454
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8de646be759c05be327ff1f4f7270b00
https://doi.org/10.46544/ams.v26i3.05
https://doi.org/10.46544/ams.v26i3.05
Publikováno v:
Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making ISBN: 9783031162022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d866d5a893cbaa0a2933037635e547c
https://doi.org/10.1007/978-3-031-16203-9_1
https://doi.org/10.1007/978-3-031-16203-9_1
Autor:
Ivan Izonin, Sergii Babichev
Publikováno v:
The Open Bioinformatics Journal. 14:36-38
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5e1a22a7d7c098728c2a41295891154
https://doi.org/10.2174/1875036202114010036
https://doi.org/10.2174/1875036202114010036