Author

Y.-y. Ding

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· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Assay:DNA methylation· 1

Frequent Co-Authors

K. Tan· 3 shared C. Chen· 2 shared C.-h. Chen· 2 shared H. Kim· 2 shared P. Gao· 2 shared S. K. Tasian· 2 shared S. P. Hunger· 2 shared A. Felmeister· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersCancer Biology

K. Tan

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3 papers

Recent·Most cited

Network Analysis Reveals Synergistic Genetic Dependencies for Rational Combination Therapy in Philadelphia Chromosome-like Acute Lymphoblastic Leukemia

Y.-Y. Ding, H. Kim, K. Madden, J. P. Loftus, G. M. Chen, D. H. Allen, R. Zhang, J. Xu, Y. Hu, S. K. Tasian, K. Tan

The paper identifies synergistic genetic targets in Ph-like B-ALL using network analysis to guide combination therapy, showing improved efficacy in preclinical models.

bioRxiv · Jan 6, 2021Cancer Biology

Single-cell multi-omics reveals elevated plasticity and stem-cell-like blasts relevant to the poor prognosis of KMT2A-rearranged leukemia

C. Chen, W. Yu, F. Alikarami, Q. Qiu, C.-h. Chen, J. Flournoy, P. Gao, Y. Uzun, L. Fang, Y. Yu, Q. Zhu, K. Wang, C. Libbrecht, A. Felmeister, I. Rozich, , K. Tan

This study uses single-cell multi-omics to identify lineage plasticity and stem-cell-like blasts in KMT2A-rearranged leukemia, linking these features to poor prognosis in infants.

bioRxiv · Dec 6, 2020 · PreprintCancer Biology

Diverse noncoding mutations contribute to deregulation of cis-regulatory landscape in pediatric cancers

B. He, P. Gao, Y.-y. Ding, C.-h. Chen, G. Chen, C. Chen, H. Kim, S. K. Tasian, S. P. Hunger, K. Tan

This study identifies and characterizes noncoding mutations in pediatric cancers using a computational framework and experimental validation, revealing their role in deregulating cis-regulatory landscapes.

bioRxiv · Nov 15, 2019Cancer Biology