Author

Teemu D. Laajala

University of TurkuORCID 0000-0002-7016-7354Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Research Focus:batch correction / integration· 1 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Anni S. Halkola· 2 shared Tero A. AittokallioiD· 2 shared Alex C. SoupiriD· 1 shared Anni Laine· 1 shared Bhagwan YadaviD· 1 shared Brooke L. FridleyiD· 1 shared Christelle ColiniD· 1 shared Evgeny KulesskiyiD· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Anni S. Halkola

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3 papers

Recent·Most cited

BioinformaticsScientific DataPeer-reviewedJul 5, 2023

curatedPCaData: Integration of clinical, genomic, and signature features in a curated and harmonized prostate cancer data resource

Teemu D. Laajala, Varsha Sreekanth, Alex C. Soupir…·James C. Costello

curatedPCaData harmonizes prostate cancer datasets to enable meta-analysis and clinical insights across multiple cohorts.

4 citations

humanbulk RNA-seq

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BioinformaticsPLoS Computational BiologyPeer-reviewedMar 10, 2023

OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer

Anni S. Halkola, Kaisa Joki, Tuomas K. Mirtti…·Teemu D. Laajala

OSCAR uses an L0-pseudonorm approach to select sparse prognostic features in prostate cancer, balancing model accuracy and clinical implementation costs.

6 citations

humanelectronic health records

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Systems BiologybioRxivPreprintFeb 26, 2018

Rules for PP2A-controlled phosphosignalling and drug responses

Otto Kauko, Susumu Y. Imanishi, Evgeny Kulesskiy…·Jukka K. Westermarck

The paper presents a systemic analysis of PP2A-regulated phosphosignaling and drug responses, revealing rules for phosphoregulation and cancer therapy classification.

9 citations

proteomicsstatistical model

𝕏 PostBluesky