Author

Mikko S. Venäläinen

Åbo Akademi UniversityORCID 0000-0003-1777-4259Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Johannes SmolanderiD· 2 shared Laura L. EloiD· 2 shared Sini JunttilaiD· 2 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Johannes SmolanderORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedDec 3, 2021

scShaper: ensemble method for fast and accurate linear trajectory inference from single-cell RNA-seq data

Johannes Smolander, Sini Junttila, Mikko S. Venäläinen, Laura L. Elo

scShaper is a fast and accurate linear trajectory inference method for single-cell RNA-seq data, outperforming existing methods in accuracy and generalizability.

14 citations

scRNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedOct 19, 2020

ILoReg enables high-resolution cell population identification from single-cell RNA-seq data

Johannes Smolander, Sini Junttila, Mikko S. Venäläinen, Laura L. Elo

ILoReg improves cell population identification in single-cell RNA-seq by using probabilistic feature extraction before clustering.

7 citations

scRNA-seqstatistical model

𝕏 PostBluesky