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Behavior and Depression Gene Networks Reconstruction and Analysis. / Ivanov, R. A.; Zamyatin, V. I.; Klimenko, A. I. et al.

SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 361-365 8958072 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Ivanov, RA, Zamyatin, VI, Klimenko, AI, Astakhova, TN, Matushkin, YG, Savostyanov, AN & Lashin, SA 2019, Behavior and Depression Gene Networks Reconstruction and Analysis. in SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings., 8958072, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 361-365, 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019, Novosibirsk, Russian Federation, 21.10.2019. https://doi.org/10.1109/SIBIRCON48586.2019.8958072

APA

Ivanov, R. A., Zamyatin, V. I., Klimenko, A. I., Astakhova, T. N., Matushkin, Y. G., Savostyanov, A. N., & Lashin, S. A. (2019). Behavior and Depression Gene Networks Reconstruction and Analysis. In SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings (pp. 361-365). [8958072] (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBIRCON48586.2019.8958072

Vancouver

Ivanov RA, Zamyatin VI, Klimenko AI, Astakhova TN, Matushkin YG, Savostyanov AN et al. Behavior and Depression Gene Networks Reconstruction and Analysis. In SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 361-365. 8958072. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). doi: 10.1109/SIBIRCON48586.2019.8958072

Author

Ivanov, R. A. ; Zamyatin, V. I. ; Klimenko, A. I. et al. / Behavior and Depression Gene Networks Reconstruction and Analysis. SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 361-365 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

BibTeX

@inproceedings{bad69f8a91744b45be69f76d75aeebe6,
title = "Behavior and Depression Gene Networks Reconstruction and Analysis",
abstract = "One of the main interests of modern neurophysiology is aimed at studying biology bases of anxiety and depression. The unsolved problem is complex integration between heredity factors, indexes of the brain electrical activity and psychological traits of people. Neurobiological understanding of this topic is essential not only for identification of genes involved in molecular mechanisms of depression, but also for knowledge of complex relationship of these genes. Research of these interactions could contribute to development of new prevention, diagnosis and treatment methods of depression. In our research, we reconstruct several PPI networks and networks of transcriptional regulation as well, in order to build the model of complex interaction of environmental and heredity factors of vulnerability to depression and other mental disorders. We identify the number of genes, which expression is supposedly related to environmental factors, for further experimental verification.",
keywords = "depression, gene network, neurotransmitter, SNP",
author = "Ivanov, {R. A.} and Zamyatin, {V. I.} and Klimenko, {A. I.} and Astakhova, {T. N.} and Matushkin, {Y. G.} and Savostyanov, {A. N.} and Lashin, {S. A.}",
year = "2019",
month = oct,
doi = "10.1109/SIBIRCON48586.2019.8958072",
language = "English",
series = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "361--365",
booktitle = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",
address = "United States",
note = "2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019 ; Conference date: 21-10-2019 Through 27-10-2019",

}

RIS

TY - GEN

T1 - Behavior and Depression Gene Networks Reconstruction and Analysis

AU - Ivanov, R. A.

AU - Zamyatin, V. I.

AU - Klimenko, A. I.

AU - Astakhova, T. N.

AU - Matushkin, Y. G.

AU - Savostyanov, A. N.

AU - Lashin, S. A.

PY - 2019/10

Y1 - 2019/10

N2 - One of the main interests of modern neurophysiology is aimed at studying biology bases of anxiety and depression. The unsolved problem is complex integration between heredity factors, indexes of the brain electrical activity and psychological traits of people. Neurobiological understanding of this topic is essential not only for identification of genes involved in molecular mechanisms of depression, but also for knowledge of complex relationship of these genes. Research of these interactions could contribute to development of new prevention, diagnosis and treatment methods of depression. In our research, we reconstruct several PPI networks and networks of transcriptional regulation as well, in order to build the model of complex interaction of environmental and heredity factors of vulnerability to depression and other mental disorders. We identify the number of genes, which expression is supposedly related to environmental factors, for further experimental verification.

AB - One of the main interests of modern neurophysiology is aimed at studying biology bases of anxiety and depression. The unsolved problem is complex integration between heredity factors, indexes of the brain electrical activity and psychological traits of people. Neurobiological understanding of this topic is essential not only for identification of genes involved in molecular mechanisms of depression, but also for knowledge of complex relationship of these genes. Research of these interactions could contribute to development of new prevention, diagnosis and treatment methods of depression. In our research, we reconstruct several PPI networks and networks of transcriptional regulation as well, in order to build the model of complex interaction of environmental and heredity factors of vulnerability to depression and other mental disorders. We identify the number of genes, which expression is supposedly related to environmental factors, for further experimental verification.

KW - depression

KW - gene network

KW - neurotransmitter

KW - SNP

UR - http://www.scopus.com/inward/record.url?scp=85079047976&partnerID=8YFLogxK

UR - https://elibrary.ru/item.asp?id=43244483

U2 - 10.1109/SIBIRCON48586.2019.8958072

DO - 10.1109/SIBIRCON48586.2019.8958072

M3 - Conference contribution

AN - SCOPUS:85079047976

T3 - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

SP - 361

EP - 365

BT - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019

Y2 - 21 October 2019 through 27 October 2019

ER -

ID: 25348722