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Huaying Fang

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2020 – today

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2023
[j5]
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  - journals/bioinformatics/Fang23a
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Huaying Fang:
gmcoda: Graphical model for multiple compositional vectors in microbiome studies. Bioinform. 39(10) (2023)
2022
[c1]
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  - conf/nips/XiaoTFX22
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Feiyi Xiao, Junjie Tang, Huaying Fang, Ruibin Xi:
Estimating graphical models for count data with applications to single-cell gene network. NeurIPS 2022

2010 – 2019

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2019
[j4]
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  - journals/tcbb/WangFYZD19
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Yishu Wang, Huaying Fang, Dejie Yang, Hongyu Zhao, Minghua Deng:
Network Clustering Analysis Using Mixture Exponential-Family Random Graph Models and Its Application in Genetic Interaction Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1743-1752 (2019)
2017
[j3]
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Zengmiao Wang, Huaying Fang, Nelson L. S. Tang, Minghua Deng:
VCNet: vector-based gene co-expression network construction and its application to RNA-seq data. Bioinform. 33(14): 2173-2181 (2017)
[j2]
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Huaying Fang, Chengcheng Huang, Hongyu Zhao, Minghua Deng:
gCoda: Conditional Dependence Network Inference for Compositional Data. J. Comput. Biol. 24(7): 699-708 (2017)
2015
[j1]
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Huaying Fang, Chengcheng Huang, Hongyu Zhao, Minghua Deng:
CCLasso: correlation inference for compositional data through Lasso. Bioinform. 31(19): 3172-3180 (2015)

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