Author

Tom Mikkelsen

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· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Ana C. deCarvalhoiD· 2 shared Adriana Olar· 1 shared Amy B. Heimberger· 1 shared Antonio IavaroneiD· 1 shared Artem SokoloviD· 1 shared Baoli Hu· 1 shared Camila Ferreira de Souza· 1 shared Carlos G. CarlottiiD· 1 shared

Activity by Year

2017-2017 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCancer Biology

Ana C. deCarvalhoORCID

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2 papers

Recent·Most cited

Tumor evolution of glioma intrinsic gene expression subtype associates with immunological changes in the microenvironment

Qianghu Wang, Xin Hu, Baoli Hu, Florian Muller, Hoon Kim, Massimo Squatrito, Tom Mikkelsen, Lisa Scarpace, Floris Barthel, Yu-Hsi Lin, Nikunj Satani, Emmanuel Martinez-Ledesma, Edward Chang, Adriana Olar, Guocan Wang, , Roel G.W. Verhaak

The paper analyzes tumor-intrinsic gene expression subtypes in IDH wild type glioblastomas and their association with immune microenvironment changes during recurrence.

Cancer Cell · Jul 1, 2017Peer-reviewed

Distinct epigenetic shift in a subset of Glioma CpG island methylator phenotype (G-CIMP) during tumor recurrence

Camila Ferreira de Souza, Thais S. Sabedot, Tathiane M. Malta, Lindsay Stetson, Olena Morozova, Artem Sokolov, Peter W. Laird, Maciej Wiznerowicz, Antonio Iavarone, James Snyder, Ana deCarvalho, Zachary Sanborn, Kerrie L. McDonald, William A. Friedman, Daniela Tirapelli, , Houtan Noushmehr

The paper identifies an epigenetic shift from G-CIMP-high to G-CIMP-low in gliomas during recurrence, associated with genomic instability and stem cell-like features, and proposes biomarkers for predicting recurrence.

bioRxiv · Jun 28, 2017 · PreprintCancer Biology