Author

Sirpa Leppä

Helsinki University HospitalORCID 0000-0002-8265-511XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Approach:microscopy & imaging analysis· 1 Assay:proteomics· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Amjad AlkodsiiD· 2 shared Leo MerirantaiD· 2 shared Ankush SharmaiD· 1 shared Annika Pasanen· 1 shared Antti HäkkineniD· 1 shared Bent HonoréiD· 1 shared Chiara FacciottoiD· 1 shared Chloé Beate SteeniD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Amjad AlkodsiORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Immune-cell depleted diffuse large B-cell lymphomas have reduced expression of MHC class I

Kanutte Huse, Yngvild Nuvin Blaker, Jillian Wise, Marie Hairing Enemark, Maare Arffman, Ankush Sharma, Leo Meriranta, Sigve Nakken, Kathrine T. Isaksen, Ivana Spasevska, Vera I. Hilden, Chloé Beate Steen, David Warren, Bent Honoré, Klaus Beiske, , June H. Myklebust

The paper maps the tumor microenvironment in DLBCL using imaging mass cytometry and finds that immune-cell depleted tumors have reduced MHC-I expression and worse survival.

bioRxiv · Sep 3, 2026 · PreprintCancer Biology

ctDNAtools: An R package to work with sequencing data of circulating tumor DNA

Amjad Alkodsi, Leo Meriranta, Annika Pasanen, Sirpa Leppä

ctDNAtools is an R package for analyzing ctDNA sequencing data, offering MRD testing and cfDNA fragmentation analysis.

bioRxiv · Jan 27, 2020 · PreprintBioinformatics

Identifying differentially methylated sites in samples with varying tumor purity

Antti Häkkinen, Amjad Alkodsi, Chiara Facciotto, Kaiyang Zhang, Katja Kaipio, Sirpa Leppä, Olli Carpén, Seija Grénman, Johanna Hynninen, Sakari Hietanen, Rainer Lehtonen, Sampsa Hautaniemi

The paper presents a computational method to identify differentially methylated sites in heterogeneous tumor samples with varying cancer cell fractions, without needing normal controls or prior purity estimates.

Bioinformatics · Apr 17, 2018Peer-reviewedBioinformatics