Author

M. Oneka

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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Scientific Communication & Education· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:software / tool· 2 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

K. L. Sovacool· 2 shared R. Diao· 2 shared Z. Lapp· 2 shared A. C. Drotos· 1 shared A. de Carvalho· 1 shared A. Kriebel· 1 shared A. Rao· 1 shared A. Rehemtulla· 1 shared

Activity by Year

2021-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersScientific Communication & Education

K. L. Sovacool

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Subclonal evolution and expansion of THY1-positive cells is associated with recurrence in glioblastoma

W. N. Al-Holou, H. Wang, V. Ravikumar, M. Oneka, R. Verhaak, H. Kim, D. Pratt, S. Camelo-Piragua, C. Speers, D. Wahl, S. Shankar, T. Hollon, O. Sagher, J. Heth, K. Muraszko, , A. Rehemtulla

This paper identifies THY1-positive, mesenchymal/stem-like cells as drivers of glioblastoma recurrence and shows that targeting TGFβ signaling can restore sensitivity to therapy.

bioRxiv · Sep 10, 2021Cancer Biology

Teaching Python for Data Science: Collaborative development of a modular & interactive curriculum

M. Duda, K. L. Sovacool, N. Farzaneh, V. K. Nguyen, S. E. Haynes, H. Falk, K. L. Furman, L. A. Walker, R. Diao, M. Oneka, A. C. Drotos, A. Woloshin, G. A. Dotson, A. Kriebel, L. Meng, , B. N. Wolford

The paper describes the development of an open-source, modular Python data science curriculum for high school women using Jupyter notebooks and collaborative practices.

bioRxiv · Jun 17, 2021Scientific Communication & Education

Developing and deploying an integrated workshop curriculum teaching computational skills for reproducible research

Z. Lapp, K. L. Sovacool, N. A. Lesniak, D. King, C. Barnier, M. Flickinger, J. Krüger, C. R. Armour, M. M. Lapp, J. Tallant, R. Diao, M. Oneka, S. Tomkovich, J. M. Anderson, S. K. Lucas, P. D. Schloss

The paper develops a two-day workshop curriculum for teaching reproducible research using R, Unix, git, and GitHub, addressing content overload and integration challenges in existing curricula.

bioRxiv · Jun 15, 2021Scientific Communication & Education