Author

Jani Saarela

University of HelsinkiORCID 0000-0001-7306-7175Unclaimed 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:benchmarking· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Assay:CRISPR screen· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Evgeny KulesskiyiD· 2 shared Jing Ping TangiD· 2 shared Krister WennerbergiD· 2 shared Ziaurrehman TanoliiD· 2 shared Alberto PessiaiD· 1 shared Aleksandr IanevskiiD· 1 shared Alexandra Gorbonos· 1 shared Alina MalyutinaiD· 1 shared

Activity by Year

2016-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Evgeny KulesskiyORCID

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Author profile →

4 papers

Recent·Most cited

Spatial artefact detection improves reproducibility of drug screening experiments

Aleksandr Ianevski, Kristen Michelle Nader, Swapnil Potdar, Alexandra Gorbonos, Filipp Ianevski, Ziaurrehman Tanoli, Jani Saarela, Tero A. Aittokallio

The paper introduces a control-independent QC method to detect spatial artefacts in drug screening experiments, improving reproducibility between technical replicates and cross-dataset correlation.

iScience · Aug 30, 2025Peer-reviewedBioinformatics

Minimal information for Chemosensitivity assays (MICHA): A next-generation pipeline to enable the FAIRification of drug screening experiments

Ziaurrehman Tanoli, Jehad Aldahdooh, Farhan Alam, Yinyin Wang, Umair Seemab, Maddalena Fratelli, Petr Pavliš, Marián Hajdúch, Florence Biétrix, Philip M. Gribbon, Andrea Zaliani, Matthew D. Hall, Min Shen, Kyle R. Brimacombe, Evgeny Kulesskiy, , Jing Ping Tang

MICHA is a pipeline that FAIRifies chemosensitivity assays by automatically annotating compounds, samples, reagents, and data processing methods, enabling interoperable and reusable drug screening data.

Briefings in Bioinformatics · Aug 9, 2021Peer-reviewedBioinformatics

Improving the consistency of functional genomics screens using molecular features - a multi-omics, pan-cancer study

Wenyu Wang, Alina Malyutina, Alberto Pessia, Jani Saarela, Caroline Akemi Heckman, Jing Ping Tang

The paper improves gene essentiality consistency between RNAi and CRISPR screens by integrating molecular features, resulting in a more accurate combined essentiality score.

EBioMedicine · Nov 12, 2019Peer-reviewedSystems Biology

Methods for High-Throughput Drug Combination Screening and Synergy Scoring

Liye He, Evgeny Kulesskiy, Jani Saarela, Laura Turunen, Krister Wennerberg, Tero Aittokallio, Jing Tang

The paper develops an experimental-computational pipeline for high-throughput drug combination screening and synergy scoring in cancer cells.

bioRxiv · May 5, 2016Systems Biology