Author

B. Sidders

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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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

A. Bartha· 1 shared A. Gogleva· 1 shared B. Farkas· 1 shared D. Polychronopoulos· 1 shared D. Veres· 1 shared D. Young· 1 shared E. Papa· 1 shared J. Dry· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

A. Bartha

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2 papers

Recent·Most cited

Network-driven cancer cell avatars for combination discovery and biomarker identification for DNA Damage Response inhibitors

O. Papp, V. Jordan, S. Hetey, R. Balazs, A. Bartha, N. N. Ordasi, S. Kamp, B. Farkas, J. Mettetal, J. R. Dry, D. Young, D. Veres, B. Sidders, K. C. Bulusu

The paper introduces a network biology-driven simulation method to predict effective drug combinations and identify biomarkers for DNA Damage Response inhibitors using cancer cell avatars.

bioRxiv · Nov 20, 2023Cancer Biology

Knowledge Graph-based Recommendation Framework Identifies Novel Drivers of Resistance in EGFR mutant Non-small Cell Lung Cancer

A. Gogleva, D. Polychronopoulos, M. Pfeifer, V. Poroshin, M. Ughetto, B. Sidders, J. Dry, M. Ahdesmaki, U. McDermott, E. Papa, K. Bulusu

The paper develops a knowledge graph-based recommendation system to identify novel resistance drivers in EGFR mutant NSCLC, reducing hit identification time from months to minutes.

bioRxiv · Jul 23, 2021Cancer Biology