Linda Vidman

Contact

Works at

Staff scientist at Department of Diagnostics and Intervention Section: Oncology

Målpunkt M31, Byggnad 6M, plan 3, Norrlands universitetssjukhus, Translationellt forskningscentrum (TRC) Umeå universitet, 901 85 Umeå

Affiliated as other position at Department of Public Health and Clinical Medicine Section: The Section of Biobank and Registry Support

5B, 1 tr Målpunkt P11, Försörjningsvägen 7B, Norrlands universitetssjukhus Umeå universitet, 901 85 Umeå

Dietary patterns, untargeted metabolite profiles and their association with colorectal cancer risk

Scientific Reports, Springer Nature 2024, Vol. 14, (1)

Bodén, Stina; Zheng, Rui; Ribbenstedt, Anton; et al.

Circulating amino acid levels and colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition and UK Biobank cohorts

BMC Medicine, BioMed Central (BMC) 2023, Vol. 21, (1)

Rothwell, Joseph A.; Bešević, Jelena; Dimou, Niki; et al.

Untargeted plasma metabolomics and risk of colorectal cancer: an analysis nested within a large-scale prospective cohort

Cancer & Metabolism, BioMed Central (BMC) 2023, Vol. 11, (1)

Vidman, Linda; Zheng, Rui; Bodén, Stina; et al.

Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition

BMC Medicine, BioMed Central (BMC) 2022, Vol. 20, (1)

Breeur, Marie; Ferrari, Pietro; Dossus, Laure; et al.

Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort

BMC Medicine, BioMed Central 2021, Vol. 19, (1)

His, Mathilde; Viallon, Vivian; Dossus, Laure; et al.

Comparison of Methods for Feature Selection in Clustering of High-Dimensional RNA-Sequencing Data to Identify Cancer Subtypes

Frontiers in Genetics, Frontiers Media S.A. 2021, Vol. 12

Källberg, David; Vidman, Linda; Rydén, Patrik

Density of CD3⁺ and CD8⁺ cells in the microenvironment of colorectal cancer according to pre-diagnostic physical activity

Cancer Epidemiology, Biomarkers and Prevention, American Association for Cancer Research (AACR) 2021, Vol. 30, (12) : 2317-2326

Renman, David; Gylling, Björn; Vidman, Linda; et al.

A new pipeline for the normalization and pooling of metabolomics data

Metabolites, MDPI 2021, Vol. 11, (9)

Viallon, Vivian; His, Mathilde; Rinaldi, Sabina; et al.

Combining epigenetic and clinicopathological variables improves specificity in prognostic prediction in clear cell renal cell carcinoma

Journal of Translational Medicine, Vol. 18, (1)

Andersson-Evelönn, Emma; Vidman, Linda; Källberg, David; et al.

cancer subtype identification using cluster analysis on high-dimensional omics data

Research report in mathematical statistics, 70/20

Vidman, Linda

Gene expression profiles define molecular subtypes of prostate cancer bone metastases with different outcomes and morphology traceable back to the primary tumor

Molecular Oncology, John Wiley & Sons 2019, Vol. 13, (8) : 1763-1777

Thysell, Elin; Vidman, Linda; Bovinder Ylitalo, Erik; et al.

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

PLOS ONE, San Francisco: Public Library of Science 2019, Vol. 14, (12)

Vidman, Linda; Källberg, David; Rydén, Patrik

Emerging evidence of the role of gut microbiota in the development of allergic diseases

Current Opinion in Allergy and Clinical Immunology, Vol. 16, (4) : 390-395

Sjödin, Kotryna Simonyte; Vidman, Linda; Rydén, Patrik; et al.

Epidemiology and Ecology of Tularemia in Sweden, 1984-2012

Emerging Infectious Diseases, Vol. 21, (1) : 32-39

Desvars, Amélie; Furberg, Maria; Hjertqvist, Marika; et al.

Epidemiology and Ecology of Tularemia in Sweden

International Journal of Epidemiology, Vol. 44 : 58-58

Desvars, Amélie; Furberg, Maria; Hjertqvist, Marika; et al.

Combining epigenetic and clinicopathological variables improves prognostic prediction in clear cell Renal Cell Carcinoma

Andersson-Evelönn, Emma; Vidman, Linda; Källberg, David; et al.

Data-driven dietary patterns and their association with colorectal cancer risk and untargeted plasma metabolite profiles

Bodén, Stina; Zheng, Rui; Hanhineva, Kati; et al.

Comparison of methods for variable selection in clustering of high-dimensional RNA-sequencing data to identify cancer subtypes

Källberg, David; Vidman, Linda; Rydén, Patrik

View publications in DiVA

Research groups

Group member

Bethany van Guelpen Lab

Research projects

1 January 2024 until 31 December 2034

Prevention of age-related disorders in women

1 January 2022 until 31 December 2024

Etiology, risk prediction and early detection of colorectal cancer