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Jukka Intosalmi

Showing results (1-10 of 6) with videos related to

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Bioinformatics (Oxford, England)|June 17, 2016
Data-driven mechanistic analysis method to reveal dynamically evolving regulatory networksJukka Intosalmi, Kari Nousiainen, Helena Ahlfors, et al.
BMC Bioinformatics|June 23, 2011
Computational study of noise in a large signal transduction networkJukka Intosalmi, Tiina Manninen, Keijo Ruohonen, et al.
Bioinformatics (Oxford, England)|July 13, 2016
A subpopulation model to analyze heterogeneous cell differentiation dynamicsYat Hin Chan, Jukka Intosalmi, Sini Rautio, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 12, 2018
A Probabilistic Framework for Molecular Network Structure Inference by Means of Mechanistic ModelingJuho Timonen, Henrik Mannerstrom, Harri Lahdesmaki, et al.
BMC Systems Biology|November 19, 2015
Analyzing Th17 cell differentiation dynamics using a novel integrative modeling framework for time-course RNA sequencing dataJukka Intosalmi, Helena Ahlfors, Sini Rautio, et al.
BMC Molecular and Cell Biology|December 21, 2019
Data-driven multiscale modeling reveals the role of metabolic coupling for the spatio-temporal growth dynamics of yeast coloniesJukka Intosalmi, Adrian C Scott, Michelle Hays, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|June 17, 2016
Data-driven mechanistic analysis method to reveal dynamically evolving regulatory networksJukka Intosalmi, Kari Nousiainen, Helena Ahlfors, et al.
BMC Bioinformatics|June 23, 2011
Computational study of noise in a large signal transduction networkJukka Intosalmi, Tiina Manninen, Keijo Ruohonen, et al.
Bioinformatics (Oxford, England)|July 13, 2016
A subpopulation model to analyze heterogeneous cell differentiation dynamicsYat Hin Chan, Jukka Intosalmi, Sini Rautio, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 12, 2018
A Probabilistic Framework for Molecular Network Structure Inference by Means of Mechanistic ModelingJuho Timonen, Henrik Mannerstrom, Harri Lahdesmaki, et al.
BMC Systems Biology|November 19, 2015
Analyzing Th17 cell differentiation dynamics using a novel integrative modeling framework for time-course RNA sequencing dataJukka Intosalmi, Helena Ahlfors, Sini Rautio, et al.
BMC Molecular and Cell Biology|December 21, 2019
Data-driven multiscale modeling reveals the role of metabolic coupling for the spatio-temporal growth dynamics of yeast coloniesJukka Intosalmi, Adrian C Scott, Michelle Hays, et al.
Pageof 1