Author

Jalil Nourisa

Medizinische Hochschule HannoverORCID 0000-0002-7539-4396Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Assay:ATAC-seq· 1 Approach:benchmark study· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Assay:multiome· 1

Frequent Co-Authors

Antoine PassemiersiD· 3 shared Daniele RaimondiiD· 2 shared Yves MoreauiD· 2 shared Alexander TongiD· 1 shared Antonio ScialdoneiD· 1 shared Berit Zeller‐PlumhoffiD· 1 shared Christian ArnoldiD· 1 shared Jason HartfordiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Antoine PassemiersORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

When batch correction corrupts gene expression: uncovering distortions in correlation structures

Jalil Nourisa, Antoine Passemiers, Yves Moreau, Daniele Raimondi

The paper identifies how batch correction methods can distort gene-gene correlations and introduces a metric to quantify this issue.

bioRxiv · Jun 10, 2026 · PreprintBioinformatics

geneRNIB: a living benchmark for gene regulatory network inference

Jalil Nourisa, Antoine Passemiers, Jérémie Kalfon, Marco Stock, Berit Zeller‐Plumhoff, Robrecht Cannoodt, Christian Arnold, Alexander Tong, Jason Hartford, Mihai G. Netea, Antonio Scialdone, Laura Cantini, Yves Moreau, Daniele Raimondi, Yang Eric Li, Malte D. Luecken

geneRNIB provides a benchmark for gene regulatory network inference, showing simpler models often outperform complex ones in perturbation-informed metrics.

bioRxiv · Feb 25, 2025 · PreprintBioinformatics

Critical issues found in "Dissecting cell identity via network inference and in silico gene perturbation"

Jalil Nourisa, Antoine Passemiers, Sven Tomforde

This paper identifies critical methodological flaws in the CellOracle approach for gene regulatory network inference and perturbation analysis.

bioRxiv · Oct 16, 2024 · PreprintBioinformatics