Author

T. J. Klisch

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Biology Disciplines

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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:clustering· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Approach:machine learning (classical)· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

A. J. Patel· 2 shared A. Jalali· 1 shared C. A. Parada· 1 shared C. Qiu· 1 shared C. W. English· 1 shared D. A. Bonnin· 1 shared D. A. Wheeler· 1 shared D. M. Muzny· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCancer Biology

A. J. Patel

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2 papers

Recent·Most cited

Meningioma transcriptomic landscape demonstrates novel subtypes with regional associated biology and patient outcome.

H. N. Thirimanne, D. A. Bonnin, N. Nuechterlein, S. Arora, M. Jensen, C. A. Parada, C. Qiu, F. Szulzewsky, C. W. English, W. C. Chen, P. Sievers, F. Nassiri, J. Z. Wang, T. J. Klisch, K. D. Aldape, , E. C. Holland

This study combines bulk RNA-Seq datasets to create a transcriptomic landscape of meningiomas, identifies subtypes with distinct biology and prognosis, and provides an interactive tool for outcome prediction.

bioRxiv · Feb 23, 2024Cancer Biology

Molecular profiling predicts meningioma recurrence and reveals loss of DREAM complex repression in aggressive tumors

A. J. Patel, Y.-W. Wan, R. Al-Ouran, J.-P. Revelli, M. F. Cardenas, M. Oneissi, L. Xi, A. Jalali, J. Magnotti, D. M. Muzny, H. Doddapaneni, S. Sebastian, K. A. Heck, J. C. Goodman, S. P. Gopinath, , T. J. Klisch

This study identifies three molecular types of meningiomas that better predict recurrence than WHO grading and links aggressive tumors to loss of DREAM complex repression.

bioRxiv · Sep 10, 2019Cancer Biology