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Ying Ding 0003

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affiliation: University of Pittsburgh, Department of Biostatistics, PA, USA
affiliation (2009 - 2013): Eli Lilly and Company, Indianapolis, IN, USA
affiliation (PhD 2009): University of Michigan, Department of Biostatistics, Ann Arbor, MI, USA

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2020 – today

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2022
[j4]
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  - journals/ploscb/ChenCKJVDLLKTLCFL22
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  - https://dblp.org/rec/journals/ploscb/ChenCKJVDLLKTLCFL22
Xueer Chen, Lujia Chen, Cornelius H. L. Kürten, Fattaneh Jabbari, Lazar Vujanovic, Ying Ding, Binfeng Lu, Kevin Lu, Aditi Kulkarni, Tracy Tabib, Robert Lafyatis, Gregory F. Cooper, Robert Ferris, Xinghua Lu:
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. PLoS Comput. Biol. 18(12): 1010761 (2022)
2020
[j3]
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  - journals/natmi/YanWXSCHDC20
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Qi Yan, Daniel E. Weeks, Hongyi Xin, Anand Swaroop, Emily Y. Chew, Heng Huang, Ying Ding, Wei Chen:
Deep-learning-based prediction of late age-related macular degeneration progression. Nat. Mach. Intell. 2(2): 141-150 (2020)

2010 – 2019

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2018
[j2]
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  - journals/bioinformatics/SunWDWLDHC18
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Zhe Sun, Ting Wang, Ke Deng, Xiao-Feng Wang, Robert Lafyatis, Ying Ding, Ming Hu, Wei Chen:
DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data. Bioinform. 34(1): 139-146 (2018)
2016
[j1]
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Ting Wang, Zhao Ren, Ying Ding, Zhou Fang, Zhe Sun, Matthew L. MacDonald, Robert A. Sweet, Jieru Wang, Wei Chen:
FastGGM: An Efficient Algorithm for the Inference of Gaussian Graphical Model in Biological Networks. PLoS Comput. Biol. 12(2) (2016)

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