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Biaobin Jiang

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2020 – today

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2023
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  - conf/cikm/ZhaoRJTZYZ23
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Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao:
Geometric Graph Learning for Protein Mutation Effect Prediction. CIKM 2023: 3412-3422
2020
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Biaobin Jiang, Dong Song, Quanhua Mu, Jiguang Wang:
CELLO: a longitudinal data analysis toolbox untangling cancer evolution. Quant. Biol. 8(3): 256-266 (2020)

2010 – 2019

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2017
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  - journals/bioinformatics/JiangKGG17
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Biaobin Jiang, Kyle Kloster, David F. Gleich, Michael Gribskov:
AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs. Bioinform. 33(12): 1829-1836 (2017)
2016
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Biaobin Jiang, Kyle Kloster, David F. Gleich, Michael Gribskov:
AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs. CoRR abs/1601.05506 (2016)
2015
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Biaobin Jiang, David F. Gleich, Michael Gribskov:
Differential flux balance analysis of quantitative proteomic data on protein interaction networks. GlobalSIP 2015: 977-981

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