Author

S. Gadipally

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Cancer Biology· 1

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

A. T. Papenfuss· 1 shared B. Feran· 1 shared D. Yoannidis· 1 shared E. D. Hawkins· 1 shared G. Mir Arnau· 1 shared I. Todorovski· 1 shared I. Y. Kong· 1 shared K. J. Simpson· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

A. T. Papenfuss

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1 paper

Recent·Most cited

RNA decay defines the therapeutic response to transcriptional perturbation in leukaemia

I. Todorovski, B. Feran, Z. Fan, S. Gadipally, D. Yoannidis, I. Y. Kong, S. Bjelosevic, M. Zethoven, E. D. Hawkins, K. J. Simpson, G. Mir Arnau, A. T. Papenfuss, R. W. Johnstone, S. J. Vervoort

The paper shows that mRNA decay rates determine the effectiveness of transcriptional inhibitors in leukemia, with short-lived mRNAs being more responsive and long-lived ones being modulated by RNA-binding proteins.

bioRxiv · Apr 6, 2022 · PreprintCancer Biology