Author

M. M. Nielsen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

J. S. Pedersen· 2 shared A. Gustavsen· 1 shared A. Hobolth· 1 shared A. Soraas· 1 shared B. Thiede· 1 shared C. Knetter· 1 shared E. H. Rustad· 1 shared F. Lund-Johansen· 1 shared

Activity by Year

2017-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersCancer Biology

J. S. Pedersen

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Author profile →

3 papers

Recent·Most cited

Sequence dependencies and mutation rates of localized mutational processes in cancer

G. A. Poulsgaard, S. G. Sorensen, R. I. Juul, M. M. Nielsen, J. S. Pedersen

The paper analyzes mutation rates of 11-mer sequence contexts across cancer genomes to identify localized mutational processes and their sequence preferences.

bioRxiv · Oct 27, 2021Cancer Biology

Beyond Spike: Identification of nine highly prevalent SARS-CoV-2-specific CD8 T-cell epitopes in a large Norwegian cohort

S. Meyer, I. Blaas, R. C. Bollineni, M. Delic-Sarac, T. T. Tran, C. Knetter, K.-Z. Dai, T. Stove Madssen, J. T. Vaage, A. Gustavsen, W. Yang, L. S. Haug Nissen-Meyer, K. Douvlataniotis, M. Laos, M. M. Nielsen, , J. Olweus

The paper identifies nine prevalent SARS-CoV-2-specific CD8 T-cell epitopes in a Norwegian cohort, showing strong correlation between immunoprevalence and immunodominance.

bioRxiv · Oct 13, 2021 · PreprintImmunology

Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival

H. Hornshoj, M. M. Nielsen, N. A. Sinnott-Armstrong, M. P. Switnicki, M. J. Rasmussen, T. Madsen, R. Sallari, M. Kellis, T. Orntoft, A. Hobolth, J. S. Pedersen

The paper identifies non-coding mutations associated with cancer by analyzing conservation, mutational patterns, and correlations with gene expression and survival across multiple cancer types.

bioRxiv · Aug 30, 2017Cancer Biology