Author

Linda Vidman

Umeå UniversityORCID 0000-0002-5012-4074Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Agnetha Linn Rostgaard‐HanseniD· 1 shared Anne Marie TjønnelandiD· 1 shared Audrey Gicquiau· 1 shared Bertrand Hémon· 1 shared Claudia AgnoliiD· 1 shared David KällbergiD· 1 shared Domenico PalliiD· 1 shared Dominique SchereriD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Agnetha Linn Rostgaard‐HansenORCID

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2 papers

Recent·Most cited

A new pipeline for the normalization and pooling of metabolomics data

Vivian Viallon, Mathilde His, Sabina Rinaldi, Marie Breeur, Audrey Gicquiau, Bertrand Hémon, Kim Overvad, Anne Marie Tjønneland, Agnetha Linn Rostgaard‐Hansen, Joseph A. Rothwell, Lucie Lécuyer, Gianluca Severi, Rudolf Kaaks, Theron Johnson, Matthias Bernd Schulze, , Pietro Ferrari

The paper introduces a pipeline to normalize and pool metabolomics data across studies, improving comparability and reducing inter-study variability.

Metabolites · Sep 17, 2021Peer-reviewedBioinformatics

Cluster analysis on high dimensional RNA-seq data with applications to cancer research- An evaluation study

Linda Vidman, David Källberg, Patrik Rydén

This study evaluates how cluster analysis choices affect cancer subtype identification using four human cancer datasets, finding that sample size has limited impact while heterogeneity and subtype distribution significantly influence performance.

PLoS ONE · Dec 5, 2019Peer-reviewedBioinformatics