Author

K. Onel

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

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. Chari· 1 shared A. Lagana· 1 shared C. R. Fraire· 1 shared D. Madduri· 1 shared D. T. Melnekoff· 1 shared H. J. Cho· 1 shared J. Keats· 1 shared J. Lee· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCancer Biology

A. Chari

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2 papers

Recent·Most cited

An imbalance between proliferation and differentiation underlies the development of microRNA-defective pineoblastoma

C. R. Fraire, K. Desai, U. A. Obalapuram, L. K. Mendyka, V. Rajaram, T. Sebastian, Y. Wang, K. Onel, J. Lee, S. X. Skapek, K. S. Chen

This study shows that loss of microRNA processing genes leads to tumor development by disrupting proliferation and differentiation balance, and suggests targeting downstream drivers could be therapeutic.

bioRxiv · Apr 23, 2024Cancer Biology

Patient Similarity Network of Multiple Myeloma Identifies Patient Sub-groups with Distinct Genetic and Clinical Features

S. Bhalla, D. T. Melnekoff, J. Keats, K. Onel, D. Madduri, J. Richter, S. Richard, A. Chari, H. J. Cho, J. T. Dudley, S. Jagannath, A. Lagana, S. Parekh

The paper introduces MM-PSN, a multi-omics patient similarity network for Multiple Myeloma, identifying three broad groups and twelve sub-groups with distinct genetic and clinical features.

bioRxiv · Jun 2, 2020 · PreprintCancer Biology