Novel Machine Learning Techniques to Elucidate Function and Dynamics of Epigenomic Mechanisms

Project Details

StatusFinished
Effective start/end date15/02/2131/12/22

Funding

  • Academy of Medical Sciences (SBF004\1060): £99,705.00

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  • Requirement of DNMT1 to orchestrate epigenomic reprogramming for NPM-ALK-driven lymphomagenesis

    Redl, E., Sheibani-Tezerji, R., Cardona, C. D. J., Hamminger, P., Timelthaler, G., Hassler, M. R., Zrimšek, M., Lagger, S., Dillinger, T., Hofbauer, L., Draganić, K., Tiefenbacher, A., Kothmayer, M., Dietz, C. H., Ramsahoye, B. H., Kenner, L., Bock, C., Seiser, C., Ellmeier, W. & Schweikert, G. & 1 others, Egger, G. (Lead / Corresponding author), Feb 2021, In: Life Science Alliance. 4, 2, 22 p., e202000794.

    Research output: Contribution to journalArticlepeer-review

    Open Access
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    5 Citations (Scopus)
    83 Downloads (Pure)