If you made any changes in Pure these will be visible here soon.

Research Output

  • 5 Article
  • 3 Conference contribution
2019

A Mathematical Model for Enhancer Activation Kinetics During Cell Differentiation

Nousiainen, K., Intosalmi, J. & Lähdesmäki, H., 1 Jan 2019, Algorithms for Computational Biology - 6th International Conference, AlCoB 2019, Proceedings. Vega-Rodríguez, M. A., Holmes, I. & Martín-Vide, C. (eds.). p. 191-202 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11488 LNBI).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Data-driven multiscale modeling reveals the role of metabolic coupling for the spatio-temporal growth dynamics of yeast colonies

Intosalmi, J., Scott, A. C., Hays, M., Flann, N., Yli-Harja, O., Lähdesmäki, H., Dudley, A. M. & Skupin, A., 19 Dec 2019, In : BMC Molecular and Cell Biology. 20, 1, 59.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
24 Downloads (Pure)
2018

Learning Stochastic Differential Equations With Gaussian Processes Without Gradient Matching

Yildiz, C., Heinonen, M., Intosalmi, J., Mannerström, H. & Lähdesmäki, H., 2018, IEEE International Workshop on Machine Learning for Signal Processing. IEEE, 6 p. 8516991

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

3 Citations (Scopus)

Learning unknown ODE models with Gaussian processes

Heinonen, M., Yildiz, C., Mannerström, H., Intosalmi, J. & Lähdesmäki, H., 2018, Proceedings of the 35th International Conference on Machine Learning, ICML 2018. Vol. 5. p. 3120-3132 13 p. (Proceedings of Machine Learning Research; vol. 80).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File
1 Citation (Scopus)
18 Downloads (Pure)
2016

A subpopulation model to analyze heterogeneous cell differentiation dynamics

Chan, Y. H., Intosalmi, J., Rautio, S. & Lähdesmäki, H., 1 Nov 2016, In : Bioinformatics. 32, 21, p. 3306-3313 8 p.

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

Data-driven mechanistic analysis method to reveal dynamically evolving regulatory networks

Intosalmi, J., Nousiainen, K., Ahlfors, H. & Lähdesmäki, H., 15 Jun 2016, In : Bioinformatics. 32, 12, p. 288-296

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)
2015

Analyzing Th17 cell differentiation dynamics using a novel integrative modeling framework for time-course RNA sequencing data

Intosalmi, J., Ahlfors, H., Rautio, S., Mannerström, H., Chen, Z., Lahesmaa, R., Stockinger, B. & Lähdesmäki, H., 2015, In : BMC SYSTEMS BIOLOGY. 9, 81, 12 p.

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)