Author

Martina Hall

Norwegian University of Science and TechnologyORCID 0000-0001-7295-0150Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:metabolomics· 1

Frequent Co-Authors

Eivind AlmaasiD· 2 shared Casper van Mourik· 1 shared Dietmar KültziD· 1 shared Finn DrabløsiD· 1 shared Helena Bertilsson· 1 shared Marit K. Skinderhaug· 1 shared May‐Britt TessemiD· 1 shared Morten Beck RyeiD· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Eivind AlmaasORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJul 18, 2022

Phenome-wide association network demonstrates close connection with individual disease trajectories from the HUNT study

Martina Hall, Marit K. Skinderhaug, Eivind Almaas

The paper constructs a SNP-based disease network from UK Biobank data and maps it to co-occurring diseases in the HUNT study, revealing patterns of disease progression and mortality associations.

DOI 10.1101/2022.07.18.22277775

humanGWAS summary statistics

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BioinformaticsiSciencePeer-reviewedMay 23, 2022

The genes controlling normal function of citrate and spermine secretion is lost in aggressive prostate cancer and prostate model systems

Morten Beck Rye, Sebastian Krossa, Martina Hall…·Helena Bertilsson

The paper identifies a gene signature associated with citrate and spermine secretion in prostate epithelial cells and shows its expression decreases in aggressive prostate cancer.

11 citations

humanbulk RNA-seq

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Systems BiologybioRxivPreprintFeb 11, 2020

Identification of key proteins involved in stickleback environmental adaption with system-level analysis

Martina Hall, Dietmar Kültz, Eivind Almaas

The paper uses proteomic data from sticklebacks to identify key proteins and functions associated with environmental adaptation through system-level analysis.

1 citation

proteomicsstatistical model

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