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Yushan Qiu

Showing results (11-20 of 33) with videos related to

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BMC Systems Biology|April 20, 2018
Discovery of Boolean metabolic networks: integer linear programming based approachYushan Qiu, Hao Jiang, Wai-Ki Ching, et al.
BMC Systems Biology|October 11, 2012
On optimal control policy for probabilistic Boolean network: a state reduction approachXi Chen, Hao Jiang, Yushan Qiu, et al.
BMC Bioinformatics|July 2, 2025
Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizerOsama Elnahas, Waleed M Ead, Yushan Qiu, et al.
IET Systems Biology|March 18, 2017
Integer programming-based method for observability of singleton attractors in Boolean networksXiaoqing Cheng, Yushan Qiu, Wenpin Hou, et al.
Artificial Intelligence in Medicine|October 25, 2018
On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via L<sub>1/2</sub>-regularization methodYushan Qiu, Hao Jiang, Wai-Ki Ching, et al.
Iscience|May 1, 2023
Identification of a comprehensive alternative splicing function during epithelial-mesenchymal transitionYushan Qiu, Yahong Zhang, Liwen Tian, et al.
Briefings in Bioinformatics|April 19, 2022
MDICC: novel method for multi-omics data integration and cancer subtype identificationYing Yang, Sha Tian, Yushan Qiu, et al.
BMC Systems Biology|January 4, 2018
Optimal projection method determination by Logdet Divergence and perturbed von-Neumann DivergenceHao Jiang, Wai-Ki Ching, Yushan Qiu, et al.
Plos Computational Biology|March 17, 2023
PCB: A pseudotemporal causality-based Bayesian approach to identify EMT-associated regulatory relationships of AS events and RBPs during breast cancer progressionLiangjie Sun, Yushan Qiu, Wai-Ki Ching, et al.
RNA (New York, N.Y.)|May 30, 2020
A combinatorially regulated RNA splicing signature predicts breast cancer EMT states and patient survivalYushan Qiu, Jingyi Lyu, Mikayla Dunlap, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
BMC Systems Biology|April 20, 2018
Discovery of Boolean metabolic networks: integer linear programming based approachYushan Qiu, Hao Jiang, Wai-Ki Ching, et al.
BMC Systems Biology|October 11, 2012
On optimal control policy for probabilistic Boolean network: a state reduction approachXi Chen, Hao Jiang, Yushan Qiu, et al.
BMC Bioinformatics|July 2, 2025
Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizerOsama Elnahas, Waleed M Ead, Yushan Qiu, et al.
IET Systems Biology|March 18, 2017
Integer programming-based method for observability of singleton attractors in Boolean networksXiaoqing Cheng, Yushan Qiu, Wenpin Hou, et al.
Artificial Intelligence in Medicine|October 25, 2018
On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via L<sub>1/2</sub>-regularization methodYushan Qiu, Hao Jiang, Wai-Ki Ching, et al.
Iscience|May 1, 2023
Identification of a comprehensive alternative splicing function during epithelial-mesenchymal transitionYushan Qiu, Yahong Zhang, Liwen Tian, et al.
Briefings in Bioinformatics|April 19, 2022
MDICC: novel method for multi-omics data integration and cancer subtype identificationYing Yang, Sha Tian, Yushan Qiu, et al.
BMC Systems Biology|January 4, 2018
Optimal projection method determination by Logdet Divergence and perturbed von-Neumann DivergenceHao Jiang, Wai-Ki Ching, Yushan Qiu, et al.
Plos Computational Biology|March 17, 2023
PCB: A pseudotemporal causality-based Bayesian approach to identify EMT-associated regulatory relationships of AS events and RBPs during breast cancer progressionLiangjie Sun, Yushan Qiu, Wai-Ki Ching, et al.
RNA (New York, N.Y.)|May 30, 2020
A combinatorially regulated RNA splicing signature predicts breast cancer EMT states and patient survivalYushan Qiu, Jingyi Lyu, Mikayla Dunlap, et al.
Pageof 4