Preprint Article Version 1 This version is not peer-reviewed

An Evaluation of Information Technology of Gene Expression Profiles Processing Stability for Different Levels of Noise Component

Version 1 : Received: 11 September 2018 / Approved: 11 September 2018 / Online: 11 September 2018 (13:48:12 CEST)

A peer-reviewed article of this Preprint also exists.

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. Data 2018, 3, 48.

Journal reference: Data 2018, 3, 48
DOI: 10.3390/data3040048

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

Subject Areas

objective clustering; biclustering; gene regulatory networks; reconstruction; validation; gene expression profiles; noise component; systems stability

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