Henrik Mannerström

Research Assistant

Research outputs

  1. 2019
  2. Published

    Bayesian metabolic flux analysis reveals intracellular flux couplings

    Heinonen, M., Osmala, M., Mannerström, H., Wallenius, J., Kaski, S., Rousu, J. & Lähdesmäki, H., 15 Jul 2019, In : Bioinformatics. 35, 14, p. i548-i557 btz315.

    Research output: Contribution to journalArticleScientificpeer-review

  3. 2018
  4. E-pub ahead of print
  5. Published

    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

  6. Published

    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

  7. 2016
  8. Published

    Identification of global regulators of T-helper cell lineage specification

    Kanduri, K., Tripathi, S., Larjo, A., Mannerström, H., Ullah, U., Lund, R., Hawkins, R. D., Ren, B., Lähdesmäki, H. & Lahesmaa, R., May 2016, In : SCANDINAVIAN JOURNAL OF IMMUNOLOGY. 83, 5, p. 379-379 1 p.

    Research output: Contribution to journalMeeting AbstractScientificpeer-review

  9. Published

    A probabilistic generative model for quantification of DNA modifications enables analysis of demethylation pathways

    Äijö, T., Huang, Y., Mannerström, H., Chavez, L., Tsagaratou, A., Rao, A. & Lähdesmäki, H., 14 Mar 2016, In : GENOME BIOLOGY. 17, 1, p. 1-22 49.

    Research output: Contribution to journalArticleScientificpeer-review

  10. Published

    Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo

    Heinonen, M., Mannerström, H., Rousu, J., Kaski, S. & Lähdesmäki, H., 2016, Proceedings of the 19th International Conference on Artificial Intelligence and Statistics: JMLR: W&CP. JMLR, p. 732-740 9 p. ( JMLR: Workshop and Conference Proceedings; vol. 51).

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

  11. 2015
  12. Published

    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

  13. Published

    A probabilistic method for quantifying chromatin interactions

    Halla-Aho, V., Mannerström, H. & Lähdesmäki, H., 2015, Machine Learning in Computational Biology: A workshop at the Annual Conference on Neural Information Processing Systems (NIPS 2015) .

    Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

  14. Published

    Identification of global regulators of T-helper cell lineage specification

    Kanduri, K., Tripathi, S., Larjo, A., Mannerström, H., Ullah, U., Lund, R., Hawkins, D., Ren, B., Lähdesmäki, H. & Lahesmaa, R., 2015, In : GENOME MEDICINE. 7, 122

    Research output: Contribution to journalArticleScientificpeer-review

ID: 4741251