Zobrazeno 1 - 10
of 43
pro vyhledávání: '"T Gregory Dewey"'
Publikováno v:
PLoS ONE, Vol 6, Iss 3, p e17959 (2011)
Normal breast epithelial cells require insulin and EGF for growth in serum-free media. We previously demonstrated that over expression of breast cancer oncogenes transforms MCF10A cells to an insulin-independent phenotype. Additionally, most breast c
Externí odkaz:
https://doaj.org/article/c4b938ffd907441480ad34a1513d9afb
Autor:
David Chappell, T. Gregory Dewey
Publikováno v:
Complexity, Governance & Networks, Vol 1, Iss 2, Pp 41-56 (2014)
A measure of the order within a hierarchical organizational structure is proposed based on an analogy with the thermodynamic entropy of physical sciences. Organizational entropy is defined in a manner that readily allows for practical calculations. T
Externí odkaz:
https://doaj.org/article/d030818d747d4c3782c058f83612dd54
Autor:
T. Gregory Dewey
Historically, science has sought to reduce complex problems to their simplest components, but more recently it has recognized the merit of studying complex phenomena in situ. Fractal geometry is one such appealing approach, and this book discusses it
Publikováno v:
Journal of Computational Biology. 11:787-799
A new scoring function for assessing the statistical significance of protein structure alignment has been developed. The new scores were tested empirically using the combinatorial extension (CE) algorithm. The significance of a given score was given
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a820fe57b2f0cdc3be1b7b57c609828d
https://doi.org/10.1089/cmb.2004.11.787
https://doi.org/10.1089/cmb.2004.11.787
Autor:
Xiwei Wu, T. Gregory Dewey
Publikováno v:
Journal of Bioinformatics and Computational Biology. :447-458
Cluster analysis has proven to be a valuable statistical method for analyzing whole genome expression data. Although clustering methods have great utility, they do represent a lower level statistical analysis that is not directly tied to a specific m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::870cffc7dd4803e8f2f790f8416b7c95
https://doi.org/10.1142/s0219720003000307
https://doi.org/10.1142/s0219720003000307
Publikováno v:
Bioinformatics. 18:1486-1493
Motivation: There has been considerable interest in developing computational techniques for inferring genetic regulatory networks from whole-genome expression profiles. When expression time series data sets are available, dynamic models can, in princ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74c8e0fcd86d791a279c254df4f02e5f
https://doi.org/10.1093/bioinformatics/18.11.1486
https://doi.org/10.1093/bioinformatics/18.11.1486
Publikováno v:
Axioms; Volume 6; Issue 2; Pages: 8
Axioms, Vol 6, Iss 2, p 8 (2017)
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::15090a77b0c83924dcfad90da00ed2a8
https://doi.org/10.3390/axioms6020008
https://doi.org/10.3390/axioms6020008
Autor:
David J. Galas, T. Gregory Dewey
Publikováno v:
Functional & Integrative Genomics. 1:269-278
Powerful new methods, like expression profiles using cDNA arrays, have been used to monitor changes in gene expression levels as a result of a variety of metabolic, xenobiotic or pathogenic challenges. This potentially vast quantity of data enables,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2417ab9e8ea18f561f1746cf6725335c
https://doi.org/10.1007/s101420000035
https://doi.org/10.1007/s101420000035
Autor:
T. Gregory Dewey
Publikováno v:
Journal of Computational Biology. 8:177-190
An algorithm for aligning biological sequences is presented that is an adaptation of the sequence generating function approach used in the statistical mechanics of biopolymers. This algorithm uses recursion relationships developed from a partition fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17971a2e3a7f17f1090cbb7975b51b56
https://doi.org/10.1089/106652701300312931
https://doi.org/10.1089/106652701300312931
Autor:
David J. Galas, T. Gregory Dewey
Publikováno v:
JALA: Journal of the Association for Laboratory Automation. 5:71-74
Powerful new experimental methods have been used to monitor changes in gene expression levels as a result of a variety of metabolic, xenobiotic or pathogenic challenges. Here we present a general approach to both statistical analysis and dynamic mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52b9dfc605ad8265cdb4067937c2a9cb
https://doi.org/10.1016/s1535-5535-04-00101-7
https://doi.org/10.1016/s1535-5535-04-00101-7