Zobrazeno 1 - 10
of 14
pro vyhledávání: '"James Kunert-Graf"'
Autor:
Andy Goldschmidt, James Kunert-Graf, Adrian C. Scott, Zhihao Tan, Aimée M. Dudley, J. Nathan Kutz
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-9 (2022)
Measurement(s) Yeast colony morphology Technology Type(s) Time-lapse photographs Factor Type(s) Genotype Sample Characteristic - Organism Saccharomyces cerevisiae
Externí odkaz:
https://doaj.org/article/7d19aeca08054595b013df6cd4864564
Publikováno v:
Entropy, Vol 22, Iss 12, p 1333 (2020)
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://doaj.org/article/8b646a9b5cff46c8ab2a8af5112674cc
Publikováno v:
Axioms, Vol 6, Iss 2, p 8 (2017)
Inferring and comparing complex, multivariable probability density functions is fundamental to problems in several fields, including probabilistic learning, network theory, and data analysis. Classification and prediction are the two faces of this cl
Externí odkaz:
https://doaj.org/article/53cff497cc5440bc868ff5c7e120f21d
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
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
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-11 (2021)
BMC Bioinformatics
BMC Bioinformatics
Background Permutation testing is often considered the “gold standard” for multi-test significance analysis, as it is an exact test requiring few assumptions about the distribution being computed. However, it can be computationally very expensive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::885ca30ededa7ef8dd9cba0f8324b640
https://pubmed.ncbi.nlm.nih.gov/33827420
https://pubmed.ncbi.nlm.nih.gov/33827420
We report here some anomalies discovered in the minor allele frequencies (MAFs) and some likely mismappings found in our analyses of UK Biobank dataset (UKB) and several other databases. We compared the MAFs present in the UKB to those measured in tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90b1118e69bc95eccc82d4a7f294abb3
https://doi.org/10.1101/2020.08.03.235150
https://doi.org/10.1101/2020.08.03.235150
Publikováno v:
Journal of Computational Biology
The complex of central problems in data analysis consists of three components: (1) detecting the dependence of variables using quantitative measures, (2) defining the significance of these dependence measures, and (3) inferring the functional relatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ab81c80e6ce03311770b150ae832e3c
http://europepmc.org/articles/PMC5729883
http://europepmc.org/articles/PMC5729883