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Jukka Intosalmi
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2010 – 2019
- 2019
- [j5]Juho Timonen
, Henrik Mannerström
A Probabilistic Framework for Molecular Network Structure Inference by Means of Mechanistic Modeling. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1843-1854 (2019) - [c3]Kari Nousiainen
A Mathematical Model for Enhancer Activation Kinetics During Cell Differentiation. AlCoB 2019: 191-202 - 2018
- [c2]Markus Heinonen, Çagatay Yildiz, Henrik Mannerström, Jukka Intosalmi, Harri Lähdesmäki:
Learning unknown ODE models with Gaussian processes. ICML 2018: 1964-1973 - [c1]Çagatay Yildiz, Markus Heinonen, Jukka Intosalmi, Henrik Mannerström
Learning stochastic differential equations with Gaussian Processes without Gradient Matching. MLSP 2018: 1-6 - [i1]Çagatay Yildiz, Markus Heinonen, Jukka Intosalmi, Henrik Mannerström, Harri Lähdesmäki:
Learning Stochastic Differential Equations With Gaussian Processes Without Gradient Matching. CoRR abs/1807.05748 (2018) - 2016
- [j4]Jukka Intosalmi, Kari Nousiainen, Helena Ahlfors
Data-driven mechanistic analysis method to reveal dynamically evolving regulatory networks. Bioinform. 32(12): 288-296 (2016) - [j3]Yat Hin Chan
A subpopulation model to analyze heterogeneous cell differentiation dynamics. Bioinform. 32(21): 3306-3313 (2016) - 2015
- [j2]Jukka Intosalmi, Helena Ahlfors
Analyzing Th17 cell differentiation dynamics using a novel integrative modeling framework for time-course RNA sequencing data. BMC Syst. Biol. 9: 81 (2015) - 2011
- [j1]Jukka Intosalmi, Tiina Manninen
Computational study of noise in a large signal transduction network. BMC Bioinform. 12: 252 (2011)
Coauthor Index
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