Author

Jukka Intosalmi

Aalto UniversityORCID 0000-0002-5262-1701Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:gene regulatory network inference· 1 Assay:scRNA-seq· 1 Organism:yeast· 1

Frequent Co-Authors

Harri J LähdesmäkiiD· 2 shared Adrian C. Scott· 1 shared Aimée M. DudleyiD· 1 shared Alexander SkupiniD· 1 shared Henrik MannerströmiD· 1 shared Michelle HaysiD· 1 shared Nicholas S. FlanniD· 1 shared Olli P. Yli-HarjaiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Harri J LähdesmäkiORCID

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2 papers

Recent·Most cited

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

Jukka Intosalmi, Adrian C. Scott, Michelle Hays, Nicholas S. Flann, Olli P. Yli-Harja, Harri J Lähdesmäki, Aimée M. Dudley, Alexander Skupin

The paper develops a data-driven spatial model to study yeast colony growth dynamics, showing that metabolic coupling is central to colony formation.

BMC Molecular and Cell Biology · Dec 1, 2019Peer-reviewedBioinformatics

SCHiRM: Single Cell Hierarchical Regression Model to detect dependencies in read count data

Jukka Intosalmi, Henrik Mannerström, Saara Hiltunen, Harri J Lähdesmäki

SCHiRM detects gene dependencies in scRNA-seq data using a hierarchical regression model, outperforming standard techniques in parameter inference and variable selection.

bioRxiv · May 31, 2018 · PreprintBioinformatics