Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Nikita A Sakhanenko"'
Autor:
Lisa Uechi, Mahjoubeh Jalali, Jayson D Wilbur, Jonathan L French, N L Jumbe, Michael J Meaney, Peter D Gluckman, Neerja Karnani, Nikita A Sakhanenko, David J Galas, GUSTO study group
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0242684 (2020)
The genetic mechanisms of childhood development in its many facets remain largely undeciphered. In the population of healthy infants studied in the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) program, we have identified a range of depend
Externí odkaz:
https://doaj.org/article/010698ddab7d40bfbe98976b97f6b708
Publikováno v:
PLoS ONE, Vol 9, Iss 3, p e92310 (2014)
Phenotypic variation, including that which underlies health and disease in humans, results in part from multiple interactions among both genetic variation and environmental factors. While diseases or phenotypes caused by single gene variants can be i
Externí odkaz:
https://doaj.org/article/bf8be54af37246b481e56953a661e1f6
Publikováno v:
Journal of Computational Biology. 30:323-336
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::627182b8eb38ebf67bc60e2e018c8e66
https://doi.org/10.1089/cmb.2022.0185
https://doi.org/10.1089/cmb.2022.0185
Publikováno v:
Journal of Computational Biology
Quantitative genetics has evolved dramatically in the past century, and the proliferation of genetic data, in quantity as well as type, enables the characterization of complex interactions and mechanisms beyond the scope of its theoretical foundation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::905b9bc5e0bd0176430c6d8657e25326
https://doi.org/10.1089/cmb.2020.0032
https://doi.org/10.1089/cmb.2020.0032
Autor:
David J. Galas, Nikita A. Sakhanenko
Publikováno v:
Entropy, Vol 21, Iss 1, p 88 (2019)
Relations between common information measures include the duality relations based on Möbius inversion on lattices, which are the direct consequence of the symmetries of the lattices of the sets of variables (subsets ordered by inclusion). In this pa
Externí odkaz:
https://doaj.org/article/6176b8efb1304e6ba68c58c77fa976ab
Publikováno v:
Journal of Computational Biology
Missing values in complex biological data sets have significant impacts on our ability to correctly detect and quantify interactions in biological systems and to infer relationships accurately. In this article, we propose a useful metaphor to show th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73968cd1c710bccd9110dbca17b30426
https://doi.org/10.1089/cmb.2018.0179
https://doi.org/10.1089/cmb.2018.0179
Publikováno v:
Entropy, Vol 19, Iss 3, p 104 (2017)
We apply a network complexity measure to the gap junction network of the somatic nervous system of C. elegans and find that it possesses a much higher complexity than we might expect from its degree distribution alone. This “excess” complexity is
Externí odkaz:
https://doaj.org/article/45c52acc149f4fd49a51b2a8bcd6bf3e
Autor:
Theresa A. Lusardi, Ursula S. Sandau, Nikita A. Sakhanenko, Sarah Catherine B. Baker, Jack T. Wiedrick, Jodi A. Lapidus, Murray A. Raskind, Ge Li, Elaine R. Peskind, David J. Galas, Joseph F. Quinn, Julie A. Saugstad
Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 15 (2021)
Frontiers in Neuroscience, Vol 15 (2021)
A history of traumatic brain injury (TBI) increases the odds of developing Alzheimer’s disease (AD). The long latent period between injury and dementia makes it difficult to study molecular changes initiated by TBI that may increase the risk of dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b11cd73d52f9bc903b92c71712abb42e
https://pubmed.ncbi.nlm.nih.gov/34580583
https://pubmed.ncbi.nlm.nih.gov/34580583
Publikováno v:
Proceedings of Entropy 2021: The Scientific Tool of the 21st Century.
Developing an information theory of quantitative genetics David J. Galas, James Kunert-Graf and Nikita A. Sakhanenko Pacific Northwest Research Institute, Seattle Washington, 98122 USA Quantitative genetics has evolved dramatically in the century sin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::307e662108158c8ca1a3a14ee9333632
https://doi.org/10.3390/entropy2021-09821
https://doi.org/10.3390/entropy2021-09821
Publikováno v:
Entropy, Vol 22, Iss 1333, p 1333 (2020)
Entropy
Volume 22
Issue 12
Entropy
Volume 22
Issue 12
Information theory provides robust measures of multivariable interdependence, but classically does little to characterize the multivariable relationships it detects. The Partial Information Decomposition (PID) characterizes the mutual information bet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1d6374eba25d90ceda725a5ce1a4fdd
https://www.mdpi.com/1099-4300/22/12/1333
https://www.mdpi.com/1099-4300/22/12/1333