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Liangzhong Shen

Showing results (1-10 of 8) with videos related to

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IET Systems Biology|January 16, 2021
Algorithm to identify the optimal perturbation based on the net basin-of-state of perturbed states in Boolean networkLiangzhong Shen, Xiangzhen Zan, Wenbin Liu
IET Systems Biology|March 22, 2016
Detecting small attractors of large Boolean networks by function-reduction-based strategyQiben Zheng, Liangzhong Shen, Xuequn Shang, et al.
Plos One|July 25, 2015
Subpathway Analysis based on Signaling-Pathway Impact Analysis of Signaling PathwayXianbin Li, Liangzhong Shen, Xuequn Shang, et al.
Scientific Reports|May 20, 2016
An efficient algorithm to identify the optimal one-bit perturbation based on the basin-of-state size of Boolean networksMingxiao Hu, Liangzhong Shen, Xiangzhen Zan, et al.
EURASIP Journal on Bioinformatics & Systems Biology|August 6, 2014
Learning restricted Boolean network model by time-series dataHongjia Ouyang, Jie Fang, Liangzhong Shen, et al.
EURASIP Journal on Bioinformatics & Systems Biology|February 15, 2017
Using the minimum description length principle to reduce the rate of false positives of best-fit algorithmsJie Fang, Hongjia Ouyang, Liangzhong Shen, et al.
Computational Biology and Chemistry|October 10, 2017
Signaling pathway impact analysis by incorporating the importance and specificity of genes (SPIA-IS)Hongyuan Fang, Xianbin Li, Xiangzhen Zan, et al.
IET Systems Biology|July 23, 2016
Signalling pathway impact analysis based on the strength of interaction between genesZhenshen Bao, Xianbin Li, Xiangzhen Zan, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IET Systems Biology|January 16, 2021
Algorithm to identify the optimal perturbation based on the net basin-of-state of perturbed states in Boolean networkLiangzhong Shen, Xiangzhen Zan, Wenbin Liu
IET Systems Biology|March 22, 2016
Detecting small attractors of large Boolean networks by function-reduction-based strategyQiben Zheng, Liangzhong Shen, Xuequn Shang, et al.
Plos One|July 25, 2015
Subpathway Analysis based on Signaling-Pathway Impact Analysis of Signaling PathwayXianbin Li, Liangzhong Shen, Xuequn Shang, et al.
Scientific Reports|May 20, 2016
An efficient algorithm to identify the optimal one-bit perturbation based on the basin-of-state size of Boolean networksMingxiao Hu, Liangzhong Shen, Xiangzhen Zan, et al.
EURASIP Journal on Bioinformatics & Systems Biology|August 6, 2014
Learning restricted Boolean network model by time-series dataHongjia Ouyang, Jie Fang, Liangzhong Shen, et al.
EURASIP Journal on Bioinformatics & Systems Biology|February 15, 2017
Using the minimum description length principle to reduce the rate of false positives of best-fit algorithmsJie Fang, Hongjia Ouyang, Liangzhong Shen, et al.
Computational Biology and Chemistry|October 10, 2017
Signaling pathway impact analysis by incorporating the importance and specificity of genes (SPIA-IS)Hongyuan Fang, Xianbin Li, Xiangzhen Zan, et al.
IET Systems Biology|July 23, 2016
Signalling pathway impact analysis based on the strength of interaction between genesZhenshen Bao, Xianbin Li, Xiangzhen Zan, et al.
Pageof 1