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Frontiers in Physiology
|
June 18, 2020
Insights From Computational Modeling Into the Contribution of Mechano-Calcium Feedback on the Cardiac End-Systolic Force-Length Relationship
Megan E Guidry, David P Nickerson, Edmund J Crampin, et al.
American Journal of Physiology. Heart and Circulatory Physiology
|
July 13, 2016
Myocardial energetics is not compromised during compensated hypertrophy in the Dahl salt-sensitive rat model of hypertension
Kenneth Tran, June-Chiew Han, Andrew J Taberner, et al.
Bioinformatics (Oxford, England)
|
September 24, 2014
NAIL, a software toolset for inferring, analyzing and visualizing regulatory networks
Daniel G Hurley, Joseph Cursons, Yi Kan Wang, et al.
Molecular Cancer
|
November 18, 2016
Systems analysis identifies miR-29b regulation of invasiveness in melanoma
Miles C Andrews, Joseph Cursons, Daniel G Hurley, et al.
BMC Systems Biology
|
July 26, 2015
Regulation of ERK-MAPK signaling in human epidermis
Joseph Cursons, Jerry Gao, Daniel G Hurley, et al.
ACS Macro Letters
|
June 2, 2022
Charge Has a Marked Influence on Hyperbranched Polymer Nanoparticle Association in Whole Human Blood
Joshua J Glass, Liyu Chen, Sheilajen Alcantara, et al.
Plos Computational Biology
|
December 6, 2018
Insights on the impact of mitochondrial organisation on bioenergetics in high-resolution computational models of cardiac cell architecture
Shouryadipta Ghosh, Kenneth Tran, Lea M D Delbridge, et al.
Bioinformatics (Oxford, England)
|
August 26, 2009
A method for visualizing CellML models
S M Wimalaratne, M D B Halstead, C M Lloyd, et al.
Experimental Physiology
|
January 20, 2009
Facilitating modularity and reuse: guidelines for structuring CellML 1.1 models by isolating common biophysical concepts
S M Wimalaratne, M D B Halstead, C M Lloyd, et al.
Journal of Controlled Release : Official Journal of the Controlled Release Society
|
June 28, 2019
Revisiting cell-particle association in vitro: A quantitative method to compare particle performance
Matthew Faria, Ka Fung Noi, Qiong Dai, et al.
Page
of 11
Search research articles
Search
Showing results (81-90 of 110) with videos related to
Sort By:
Page
of 11
Frontiers in Physiology
|
June 18, 2020
Insights From Computational Modeling Into the Contribution of Mechano-Calcium Feedback on the Cardiac End-Systolic Force-Length Relationship
Megan E Guidry, David P Nickerson, Edmund J Crampin, et al.
American Journal of Physiology. Heart and Circulatory Physiology
|
July 13, 2016
Myocardial energetics is not compromised during compensated hypertrophy in the Dahl salt-sensitive rat model of hypertension
Kenneth Tran, June-Chiew Han, Andrew J Taberner, et al.
Bioinformatics (Oxford, England)
|
September 24, 2014
NAIL, a software toolset for inferring, analyzing and visualizing regulatory networks
Daniel G Hurley, Joseph Cursons, Yi Kan Wang, et al.
Molecular Cancer
|
November 18, 2016
Systems analysis identifies miR-29b regulation of invasiveness in melanoma
Miles C Andrews, Joseph Cursons, Daniel G Hurley, et al.
BMC Systems Biology
|
July 26, 2015
Regulation of ERK-MAPK signaling in human epidermis
Joseph Cursons, Jerry Gao, Daniel G Hurley, et al.
ACS Macro Letters
|
June 2, 2022
Charge Has a Marked Influence on Hyperbranched Polymer Nanoparticle Association in Whole Human Blood
Joshua J Glass, Liyu Chen, Sheilajen Alcantara, et al.
Plos Computational Biology
|
December 6, 2018
Insights on the impact of mitochondrial organisation on bioenergetics in high-resolution computational models of cardiac cell architecture
Shouryadipta Ghosh, Kenneth Tran, Lea M D Delbridge, et al.
Bioinformatics (Oxford, England)
|
August 26, 2009
A method for visualizing CellML models
S M Wimalaratne, M D B Halstead, C M Lloyd, et al.
Experimental Physiology
|
January 20, 2009
Facilitating modularity and reuse: guidelines for structuring CellML 1.1 models by isolating common biophysical concepts
S M Wimalaratne, M D B Halstead, C M Lloyd, et al.
Journal of Controlled Release : Official Journal of the Controlled Release Society
|
June 28, 2019
Revisiting cell-particle association in vitro: A quantitative method to compare particle performance
Matthew Faria, Ka Fung Noi, Qiong Dai, et al.
Page
of 11