Babichev, S. An Evaluation of the Information Technology of Gene Expression Profiles Processing Stability for Different Levels of Noise Components. Data2018, 3, 48.
Babichev, S. An Evaluation of the Information Technology of Gene Expression Profiles Processing Stability for Different Levels of Noise Components. Data 2018, 3, 48.
Babichev, S. An Evaluation of the Information Technology of Gene Expression Profiles Processing Stability for Different Levels of Noise Components. Data2018, 3, 48.
Babichev, S. An Evaluation of the Information Technology of Gene Expression Profiles Processing Stability for Different Levels of Noise Components. Data 2018, 3, 48.
Abstract
The paper presents the results of the research concerning an evaluation of information 1
technology of gene expression profiles processing stability with the use of gene expression profiles 2
with different levels of noise component. The information technology is presented as a structural 3
block-chart, which contains all stages of the studied data processing. The hybrid model of objective 4
clustering based on SOTA algorithm and the technology of gene regulatory networks reconstruction 5
have been studied to evaluate the stability to the level of the noise component. The results of the 6
simulation have shown that the hybrid model of objective clustering has high level of stability 7
to noise component and vice versa, the technology of gene regulatory networks reconstruction is 8
very sensitivity to level of noise component. The obtained results indicate the importance of gene 9
expression profiles preprocessing at early stage of gene regulatory network reconstruction in order to 10
remove background noise and non-informative genes in terms of used criteria
Computer Science and Mathematics, Information Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
