Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Eric Mjolsness"'
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
Cellular mechanical stress is a key determinant of cell shape and function, but how the cell senses stress direction is unclear. In this Perspective the authors propose that microtubules autonomously sense stress directions in plant cells, where tens
Externí odkaz:
https://doaj.org/article/dd703b7ac6464313ad6e9aef9fd4992a
Autor:
C B Scott, Eric Mjolsness
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0249624 (2021)
We define a new family of similarity and distance measures on graphs, and explore their theoretical properties in comparison to conventional distance metrics. These measures are defined by the solution(s) to an optimization problem which attempts fin
Externí odkaz:
https://doaj.org/article/73c3161bae67411ea802f603bc38b860
Autor:
Sarah M Keating, Dagmar Waltemath, Matthias König, Fengkai Zhang, Andreas Dräger, Claudine Chaouiya, Frank T Bergmann, Andrew Finney, Colin S Gillespie, Tomáš Helikar, Stefan Hoops, Rahuman S Malik‐Sheriff, Stuart L Moodie, Ion I Moraru, Chris J Myers, Aurélien Naldi, Brett G Olivier, Sven Sahle, James C Schaff, Lucian P Smith, Maciej J Swat, Denis Thieffry, Leandro Watanabe, Darren J Wilkinson, Michael L Blinov, Kimberly Begley, James R Faeder, Harold F Gómez, Thomas M Hamm, Yuichiro Inagaki, Wolfram Liebermeister, Allyson L Lister, Daniel Lucio, Eric Mjolsness, Carole J Proctor, Karthik Raman, Nicolas Rodriguez, Clifford A Shaffer, Bruce E Shapiro, Joerg Stelling, Neil Swainston, Naoki Tanimura, John Wagner, Martin Meier‐Schellersheim, Herbert M Sauro, Bernhard Palsson, Hamid Bolouri, Hiroaki Kitano, Akira Funahashi, Henning Hermjakob, John C Doyle, Michael Hucka, SBML Level 3 Community members
Publikováno v:
Molecular Systems Biology, Vol 16, Iss 8, Pp n/a-n/a (2020)
Abstract Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review the latest edi
Externí odkaz:
https://doaj.org/article/86e517962df24b21af078b7f951f7487
Publikováno v:
PLoS Computational Biology, Vol 2, Iss 12, p e169 (2006)
A current challenge is to develop computational approaches to infer gene network regulatory relationships based on multiple types of large-scale functional genomic data. We find that single-layer feed-forward artificial neural network (ANN) models ca
Externí odkaz:
https://doaj.org/article/151f6f704e2f4aaba6962d495e3d48e3
Autor:
Eric Mjolsness
Publikováno v:
Feynman Lectures on Computation ISBN: 9781003358817
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9276a96ae18f865dbdf66e3d4e077ab8
https://doi.org/10.1201/9781003358817-10
https://doi.org/10.1201/9781003358817-10
Publikováno v:
in silico Plants. 5
We present a method for learning ‘spectrally descriptive’ edge weights for graphs. We generalize a previously known distance measure on graphs (graph diffusion distance [GDD]), thereby allowing it to be tuned to minimize an arbitrary loss functio
Autor:
Eric Mjolsness
Publikováno v:
Frontiers in Systems Biology. 2
Many emergent, non-fundamental models of complex systems can be described naturally by the temporal evolution of spatial structures with some nontrivial discretized topology, such as a graph with suitable parameter vectors labeling its vertices. For
Autor:
Matthew Hur, Mayte Bonilla-Quinatana, Thomas M. Bartol, Terrence J. Sejnowski, Padmini Rangamani, Eric Mjolsness
Publikováno v:
Biophysical Journal. 122:283a
Autor:
Cory B. Scott, Eric Mjolsness
Publikováno v:
PloS one, vol 16, iss 4
PLoS ONE
PLoS ONE, Vol 16, Iss 4, p e0249624 (2021)
PLoS ONE
PLoS ONE, Vol 16, Iss 4, p e0249624 (2021)
We define a new family of similarity and distance measures on graphs, and explore their theoretical properties in comparison to conventional distance metrics. These measures are defined by the solution(s) to an optimization problem which attempts fin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37d1f83d4f51ba290a210a8f12cf1b9e
https://escholarship.org/uc/item/43m178k3
https://escholarship.org/uc/item/43m178k3
Gene regulation is an important fundamental biological process. The regulation of gene expression is managed through a variety of methods including epigenetic processes (e.g., DNA methylation). Understanding the role of epigenetic changes in gene exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81383ebfd0dfb376ae21b09d3c69c2f0
https://doi.org/10.1101/2020.08.03.234740
https://doi.org/10.1101/2020.08.03.234740