Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Alexander, Ionkov"'
Autor:
Eshan D. Mitra, Ryan Suderman, Joshua Colvin, Alexander Ionkov, Andrew Hu, Herbert M. Sauro, Richard G. Posner, William S. Hlavacek
Publikováno v:
iScience, Vol 19, Iss , Pp 1012-1036 (2019)
Summary: In systems biology modeling, important steps include model parameterization, uncertainty quantification, and evaluation of agreement with experimental observations. To help modelers perform these steps, we developed the software PyBioNetFit,
Externí odkaz:
https://doaj.org/article/758e396753f54cbcb6ef1980853409b4
Autor:
Yury V Bukhman, Phillip A. Morin, Susanne Meyer, Li-Fang (Jack) Chu, Jeff K. Jacobsen, Jessica Antosiewicz-Bourget, Daniel Mamott, Maylie Gonzales, Cara Argus, Jennifer Bolin, Mark E. Berres, Olivier Fedrigo, John Steill, Scott Allen Swanson, Peng Jiang, Arang Rhie, Giulio Formenti, Adam M. Phillippy, Robert S. Harris, Jonathan M. D. Wood, Kerstin Howe, Bogdan Kirilenko, Chetan Munegowda, Michael Hiller, Aashish Jain, Daisuke Kihara, J. Spencer Johnston, Alexander Ionkov, Kalpana Raja, Huishi Toh, Aimee Lang, Magnus Wolf, Erich Jarvis, James A. Thomson, Mark J.P. Chaisson, Ron Stewart
BackgroundThe blue whale, Balaenoptera musculus , is the largest animal known to have ever existed. Body size is tightly coupled to cell metabolism and environmental adaptations. A high-quality genome assembly of this magnificent animal will aid our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37b7e9c016004b9eb31c8d7cb6016938
https://doi.org/10.21203/rs.3.rs-1910240/v1
https://doi.org/10.21203/rs.3.rs-1910240/v1
Autor:
William S, Hlavacek, Jennifer A, Csicsery-Ronay, Lewis R, Baker, María Del Carmen, Ramos Álamo, Alexander, Ionkov, Eshan D, Mitra, Ryan, Suderman, Keesha E, Erickson, Raquel, Dias, Joshua, Colvin, Brandon R, Thomas, Richard G, Posner
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 1945
BioNetFit is a software tool designed for solving parameter identification problems that arise in the development of rule-based models. It solves these problems through curve fitting (i.e., nonlinear regression). BioNetFit is compatible with determin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6c762844ac2431104f0cd97998aadfb2
https://pubmed.ncbi.nlm.nih.gov/30945257
https://pubmed.ncbi.nlm.nih.gov/30945257
Autor:
William S. Hlavacek, Brandon R. Thomas, Ryan Suderman, Joshua Colvin, Keesha E. Erickson, Lewis R. Baker, Raquel Dias, Jennifer Csicsery-Ronay, Richard G. Posner, Eshan D. Mitra, María del Carmen Ramos Álamo, Alexander Ionkov
Publikováno v:
Modeling Biomolecular Site Dynamics ISBN: 9781493991006
BioNetFit is a software tool designed for solving parameter identification problems that arise in the development of rule-based models. It solves these problems through curve fitting (i.e., nonlinear regression). BioNetFit is compatible with determin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::594098bdf27d8176bcfa5a448d0944aa
https://doi.org/10.1007/978-1-4939-9102-0_18
https://doi.org/10.1007/978-1-4939-9102-0_18