Hidden Markov induced Dynamic Bayesian Network for recovering time evolving gene regulatory networks

Shijia Zhu; Yadong Wang

doi:10.1038/srep17841

Hidden Markov induced Dynamic Bayesian Network for recovering time evolving gene regulatory networks

Scientific Reports ◽

10.1038/srep17841 ◽

2015 ◽

Vol 5 (1) ◽

Cited By ~ 4

Author(s):

Shijia Zhu ◽

Yadong Wang

Keyword(s):

Bayesian Network ◽

Gene Regulatory Networks ◽

Regulatory Networks ◽

Hidden Markov ◽

Dynamic Bayesian Network ◽

Gene Regulatory

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Current Development and Review of Dynamic Bayesian Network-Based Methods for Inferring Gene Regulatory Networks from Gene Expression Data

Current Bioinformatics ◽

10.2174/1574893609666140421210333 ◽

2014 ◽

Vol 9 (5) ◽

pp. 531-539 ◽

Cited By ~ 6

Author(s):

Lian Chai ◽

Mohd Mohamad ◽

Safaai Deris ◽

Chuii Chong ◽

Yee Choon ◽

...

Keyword(s):

Gene Expression ◽

Bayesian Network ◽

Gene Expression Data ◽

Gene Regulatory Networks ◽

Regulatory Networks ◽

Dynamic Bayesian Network ◽

Expression Data ◽

Current Development ◽

Gene Regulatory

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Performance evaluation of the time-delayed dynamic Bayesian network approach to inferring gene regulatory networks from time series microarray data

Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology - BCB '10 ◽

10.1145/1854776.1854859 ◽

2010 ◽

Author(s):

Haoni Li ◽

Peng Li ◽

Chaoyang Zhang ◽

Nan Wang ◽

Ping Gong ◽

...

Keyword(s):

Time Series ◽

Performance Evaluation ◽

Bayesian Network ◽

Gene Regulatory Networks ◽

Microarray Data ◽

Regulatory Networks ◽

Dynamic Bayesian Network ◽

Network Approach ◽

Gene Regulatory ◽

Time Series Microarray

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Inferring Gene Regulatory Networks in the Arabidopsis Root Using a Dynamic Bayesian Network Approach

Methods in Molecular Biology - Plant Gene Regulatory Networks ◽

10.1007/978-1-4939-7125-1_21 ◽

2017 ◽

pp. 331-348 ◽

Cited By ~ 6

Author(s):

Maria Angels de Luis Balaguer ◽

Rosangela Sozzani

Keyword(s):

Bayesian Network ◽

Gene Regulatory Networks ◽

Regulatory Networks ◽

Dynamic Bayesian Network ◽

Network Approach ◽

Arabidopsis Root ◽

Gene Regulatory

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The max-min high-order dynamic Bayesian network learning for identifying gene regulatory networks from time-series microarray data

2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) ◽

10.1109/cibcb.2013.6595392 ◽

2013 ◽

Cited By ~ 4

Author(s):

Yifeng Li ◽

Alioune Ngom

Keyword(s):

Time Series ◽

Bayesian Network ◽

Gene Regulatory Networks ◽

Microarray Data ◽

Regulatory Networks ◽

Dynamic Bayesian Network ◽

High Order ◽

Network Learning ◽

Gene Regulatory ◽

Time Series Microarray

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Inference of time-delayed gene regulatory networks based on dynamic Bayesian network hybrid learning method

Oncotarget ◽

10.18632/oncotarget.21268 ◽

2017 ◽

Vol 8 (46) ◽

pp. 80373-80392 ◽

Cited By ~ 4

Author(s):

Bin Yu ◽

Jia-Meng Xu ◽

Shan Li ◽

Cheng Chen ◽

Rui-Xin Chen ◽

...

Keyword(s):

Bayesian Network ◽

Gene Regulatory Networks ◽

Regulatory Networks ◽

Dynamic Bayesian Network ◽

Hybrid Learning ◽

Learning Method ◽

Gene Regulatory

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The Max-Min High-Order Dynamic Bayesian Network for Learning Gene Regulatory Networks with Time-Delayed Regulations

IEEE/ACM Transactions on Computational Biology and Bioinformatics ◽

10.1109/tcbb.2015.2474409 ◽

2016 ◽

Vol 13 (4) ◽

pp. 792-803 ◽

Cited By ~ 13

Author(s):

Yifeng Li ◽

Haifen Chen ◽

Jie Zheng ◽

Alioune Ngom

Keyword(s):

Bayesian Network ◽

Gene Regulatory Networks ◽

Regulatory Networks ◽

Dynamic Bayesian Network ◽

High Order ◽

Gene Regulatory

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Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks

BMC Bioinformatics ◽

10.1186/1471-2105-8-s7-s13 ◽

2007 ◽

Vol 8 (Suppl 7) ◽

pp. S13 ◽

Cited By ~ 52

Author(s):

Peng Li ◽

Chaoyang Zhang ◽

Edward J Perkins ◽

Ping Gong ◽

Youping Deng

Keyword(s):

Bayesian Network ◽

Gene Regulatory Networks ◽

Regulatory Networks ◽

Boolean Network ◽

Dynamic Bayesian Network ◽

Probabilistic Boolean Network ◽

Gene Regulatory ◽

Network Approaches

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Dynamic Bayesian network optimized by particle filtering in gene regulatory networks

2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT) ◽

10.1109/edt.2010.5496445 ◽

2010 ◽

Author(s):

Gu Yanli ◽

Jinbao Wang ◽

Han Rumei

Keyword(s):

Bayesian Network ◽

Gene Regulatory Networks ◽

Particle Filtering ◽

Regulatory Networks ◽

Dynamic Bayesian Network ◽

Gene Regulatory

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Inferring the dynamics of gene regulatory networks via optimized recurrent neural network and dynamic Bayesian network

2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) ◽

10.1109/cibcb.2015.7300322 ◽

2015 ◽

Author(s):

Arinze Akutekwe ◽

Huseyin Seker

Keyword(s):

Neural Network ◽

Bayesian Network ◽

Gene Regulatory Networks ◽

Recurrent Neural Network ◽

Regulatory Networks ◽

Dynamic Bayesian Network ◽

Gene Regulatory

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Inferring Gene Regulatory Networks from Multiple Data Sources Via a Dynamic Bayesian Network with Structural EM

Lecture Notes in Computer Science - Data Integration in the Life Sciences ◽

10.1007/978-3-540-73255-6_17 ◽

2007 ◽

pp. 204-214 ◽

Cited By ~ 15

Author(s):

Yu Zhang ◽

Zhidong Deng ◽

Hongshan Jiang ◽

Peifa Jia

Keyword(s):

Bayesian Network ◽

Gene Regulatory Networks ◽

Regulatory Networks ◽

Dynamic Bayesian Network ◽

Data Sources ◽

Multiple Data Sources ◽

Multiple Data ◽

Gene Regulatory

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