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

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 information technology is presented as a structural bl...
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Autor*in:	Sergii Babichev [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

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

Übergeordnetes Werk:	In: Data - MDPI AG, 2017, 3(2018), 4, p 48
Übergeordnetes Werk:	volume:3 ; year:2018 ; number:4, p 48

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DOI / URN:	10.3390/data3040048

Katalog-ID:	DOAJ025363913

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spelling	10.3390/data3040048 doi (DE-627)DOAJ025363913 (DE-599)DOAJce06708f773b46d9a8f0b312dffc13f6 DE-627 ger DE-627 rakwb eng Sergii Babichev verfasserin aut An Evaluation of the Information Technology of Gene Expression Profiles Processing Stability for Different Levels of Noise Components 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 information technology is presented as a structural block-chart, which contains all stages of the studied data processing. The hybrid model of objective clustering based on the SOTA algorithm and the technology of gene regulatory networks reconstruction have been investigated to evaluate the stability to the level of the noise components. The results of the simulation have shown that the hybrid model of the objective clustering has high level of stability to noise components and vice versa, the technology of gene regulatory networks reconstruction is rather sensitive to the level of noise component. The obtained results indicate the importance of gene expression profiles preprocessing at the early stage of the gene regulatory network reconstruction in order to remove background noise and non-informative genes in terms of the used criteria. objective clustering biclustering gene regulatory networks reconstruction validation gene expression profiles noise component systems stability Bibliography. Library science. Information resources Z In Data MDPI AG, 2017 3(2018), 4, p 48 (DE-627)859729729 (DE-600)2856531-9 23065729 nnns volume:3 year:2018 number:4, p 48 https://doi.org/10.3390/data3040048 kostenfrei https://doaj.org/article/ce06708f773b46d9a8f0b312dffc13f6 kostenfrei https://www.mdpi.com/2306-5729/3/4/48 kostenfrei https://doaj.org/toc/2306-5729 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 3 2018 4, p 48
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allfieldsGer	10.3390/data3040048 doi (DE-627)DOAJ025363913 (DE-599)DOAJce06708f773b46d9a8f0b312dffc13f6 DE-627 ger DE-627 rakwb eng Sergii Babichev verfasserin aut An Evaluation of the Information Technology of Gene Expression Profiles Processing Stability for Different Levels of Noise Components 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 information technology is presented as a structural block-chart, which contains all stages of the studied data processing. The hybrid model of objective clustering based on the SOTA algorithm and the technology of gene regulatory networks reconstruction have been investigated to evaluate the stability to the level of the noise components. The results of the simulation have shown that the hybrid model of the objective clustering has high level of stability to noise components and vice versa, the technology of gene regulatory networks reconstruction is rather sensitive to the level of noise component. The obtained results indicate the importance of gene expression profiles preprocessing at the early stage of the gene regulatory network reconstruction in order to remove background noise and non-informative genes in terms of the used criteria. objective clustering biclustering gene regulatory networks reconstruction validation gene expression profiles noise component systems stability Bibliography. Library science. Information resources Z In Data MDPI AG, 2017 3(2018), 4, p 48 (DE-627)859729729 (DE-600)2856531-9 23065729 nnns volume:3 year:2018 number:4, p 48 https://doi.org/10.3390/data3040048 kostenfrei https://doaj.org/article/ce06708f773b46d9a8f0b312dffc13f6 kostenfrei https://www.mdpi.com/2306-5729/3/4/48 kostenfrei https://doaj.org/toc/2306-5729 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 3 2018 4, p 48
allfieldsSound	10.3390/data3040048 doi (DE-627)DOAJ025363913 (DE-599)DOAJce06708f773b46d9a8f0b312dffc13f6 DE-627 ger DE-627 rakwb eng Sergii Babichev verfasserin aut An Evaluation of the Information Technology of Gene Expression Profiles Processing Stability for Different Levels of Noise Components 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 information technology is presented as a structural block-chart, which contains all stages of the studied data processing. The hybrid model of objective clustering based on the SOTA algorithm and the technology of gene regulatory networks reconstruction have been investigated to evaluate the stability to the level of the noise components. The results of the simulation have shown that the hybrid model of the objective clustering has high level of stability to noise components and vice versa, the technology of gene regulatory networks reconstruction is rather sensitive to the level of noise component. The obtained results indicate the importance of gene expression profiles preprocessing at the early stage of the gene regulatory network reconstruction in order to remove background noise and non-informative genes in terms of the used criteria. objective clustering biclustering gene regulatory networks reconstruction validation gene expression profiles noise component systems stability Bibliography. Library science. Information resources Z In Data MDPI AG, 2017 3(2018), 4, p 48 (DE-627)859729729 (DE-600)2856531-9 23065729 nnns volume:3 year:2018 number:4, p 48 https://doi.org/10.3390/data3040048 kostenfrei https://doaj.org/article/ce06708f773b46d9a8f0b312dffc13f6 kostenfrei https://www.mdpi.com/2306-5729/3/4/48 kostenfrei https://doaj.org/toc/2306-5729 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 3 2018 4, p 48
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author	Sergii Babichev
spellingShingle	Sergii Babichev misc objective clustering misc biclustering misc gene regulatory networks misc reconstruction misc validation misc gene expression profiles misc noise component misc systems stability misc Bibliography. Library science. Information resources misc Z An Evaluation of the Information Technology of Gene Expression Profiles Processing Stability for Different Levels of Noise Components
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topic_title	An Evaluation of the Information Technology of Gene Expression Profiles Processing Stability for Different Levels of Noise Components objective clustering biclustering gene regulatory networks reconstruction validation gene expression profiles noise component systems stability
topic	misc objective clustering misc biclustering misc gene regulatory networks misc reconstruction misc validation misc gene expression profiles misc noise component misc systems stability misc Bibliography. Library science. Information resources misc Z
topic_unstemmed	misc objective clustering misc biclustering misc gene regulatory networks misc reconstruction misc validation misc gene expression profiles misc noise component misc systems stability misc Bibliography. Library science. Information resources misc Z
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title	An Evaluation of the Information Technology of Gene Expression Profiles Processing Stability for Different Levels of Noise Components
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title_full	An Evaluation of the Information Technology of Gene Expression Profiles Processing Stability for Different Levels of Noise Components
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title_sort	evaluation of the information technology of gene expression profiles processing stability for different levels of noise components
title_auth	An Evaluation of the Information Technology of Gene Expression Profiles Processing Stability for Different Levels of Noise Components
abstract	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 information technology is presented as a structural block-chart, which contains all stages of the studied data processing. The hybrid model of objective clustering based on the SOTA algorithm and the technology of gene regulatory networks reconstruction have been investigated to evaluate the stability to the level of the noise components. The results of the simulation have shown that the hybrid model of the objective clustering has high level of stability to noise components and vice versa, the technology of gene regulatory networks reconstruction is rather sensitive to the level of noise component. The obtained results indicate the importance of gene expression profiles preprocessing at the early stage of the gene regulatory network reconstruction in order to remove background noise and non-informative genes in terms of the used criteria.
abstractGer	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 information technology is presented as a structural block-chart, which contains all stages of the studied data processing. The hybrid model of objective clustering based on the SOTA algorithm and the technology of gene regulatory networks reconstruction have been investigated to evaluate the stability to the level of the noise components. The results of the simulation have shown that the hybrid model of the objective clustering has high level of stability to noise components and vice versa, the technology of gene regulatory networks reconstruction is rather sensitive to the level of noise component. The obtained results indicate the importance of gene expression profiles preprocessing at the early stage of the gene regulatory network reconstruction in order to remove background noise and non-informative genes in terms of the used criteria.
abstract_unstemmed	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 information technology is presented as a structural block-chart, which contains all stages of the studied data processing. The hybrid model of objective clustering based on the SOTA algorithm and the technology of gene regulatory networks reconstruction have been investigated to evaluate the stability to the level of the noise components. The results of the simulation have shown that the hybrid model of the objective clustering has high level of stability to noise components and vice versa, the technology of gene regulatory networks reconstruction is rather sensitive to the level of noise component. The obtained results indicate the importance of gene expression profiles preprocessing at the early stage of the gene regulatory network reconstruction in order to remove background noise and non-informative genes in terms of the used criteria.
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title_short	An Evaluation of the Information Technology of Gene Expression Profiles Processing Stability for Different Levels of Noise Components
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