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Linda Vidman
Kontakt
E-post
linda.vidman@umu.se
Telefon
090-786 88 26
Verksam vid
Anknytning
Första forskningsingenjör vid
Institutionen för strålningsvetenskaper
Enhet: Onkologi
Plats
Målpunkt M31, Byggnad 6M, plan 3, Norrlands universitetssjukhus, Translationellt forskningscentrum (TRC)
Umeå universitet, 901 87 Umeå
Anknytning
Anknuten som övrig/annan befattning till
Enheten för biobanksforskning
Plats
5 B, 1 tr Målpunkt P11, NUS, Försörjningsvägen 7 B
Umeå universitet, S-90187 Umeå
Publikationer
Publikationer
Forskning
Forskning
2022
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.
2021
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.
2021
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
2021
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.
2021
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.
2020
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.
2020
cancer subtype identification using cluster analysis on high-dimensional omics data
Research report in mathematical statistics
, 70/20
Vidman, Linda
2019
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.
2019
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
2016
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.
2015
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.
2015
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
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Gruppmedlem
Bethany van Guelpen Lab
Forskningsprojekt
1 januari 2022 till 31 december 2024
Studier av uppkomst och riskprediktion av tjock- och ändtarmscancer i syfte att förbättra prevention
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