Search alternatives:
network optimization » swarm optimization (Expand Search), wolf optimization (Expand Search)
complex optimization » convex optimization (Expand Search), whale optimization (Expand Search), wolf optimization (Expand Search)
binary layer » boundary layer (Expand Search), final layer (Expand Search), linear layer (Expand Search)
network optimization » swarm optimization (Expand Search), wolf optimization (Expand Search)
complex optimization » convex optimization (Expand Search), whale optimization (Expand Search), wolf optimization (Expand Search)
binary layer » boundary layer (Expand Search), final layer (Expand Search), linear layer (Expand Search)
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Image_1_Identification of a Novel Prognostic Signature for Gastric Cancer Based on Multiple Level Integration and Global Network Optimization.TIF
Published 2021“…To date, there have been no reports on integrated optimization analysis based on the GC global lncRNA-miRNA-mRNA network and the prognostic mechanism has not been studied. …”
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Inferring Gene Regulatory Networks Using the Improved Markov Blanket Discovery Algorithm
Published 2023“…This work mainly focuses on the following aspects: (1) On the basis of the IPC-MB and DPI, we presented a novel feature selection method called the improved MB discovery algorithm (IMBDA), which can accurately identify direct and indirect regulatory genes when inferring networks. (2) Isolated genes were properly processed by the IDS to optimize the network structure. (3) The performance of IMBDANET was assessed with extensive experiments. …”
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Inferring Gene Regulatory Networks Using the Improved Markov Blanket Discovery Algorithm
Published 2023“…<ul><li><a href="https://link.springer.com/article/10.1007/s12539-021-00478-9#auth-Wei-Liu-Aff1-Aff2" target="_blank">Wei Liu</a>, </li><li><a href="https://link.springer.com/article/10.1007/s12539-021-00478-9#auth-Yi-Jiang-Aff1" target="_blank">Yi Jiang</a>, </li><li><a href="https://link.springer.com/article/10.1007/s12539-021-00478-9#auth-Li-Peng-Aff3" target="_blank">Li Peng</a>, </li><li><a href="https://link.springer.com/article/10.1007/s12539-021-00478-9#auth-Xingen-Sun-Aff1" target="_blank">Xingen Sun</a>, </li><li><a href="https://link.springer.com/article/10.1007/s12539-021-00478-9#auth-Wenqing-Gan-Aff1" target="_blank">Wenqing Gan</a>, </li><li><a href="https://link.springer.com/article/10.1007/s12539-021-00478-9#auth-Qi-Zhao-Aff4" target="_blank">Qi Zhao</a> </li><li><a href="https://link.springer.com/article/10.1007/s12539-021-00478-9#auth-Huanrong-Tang-Aff1" target="_blank">Huanrong Tang</a></li></ul><p dir="ltr">A novel network inference method based on the improved MB discovery algorithm, IMBDANET, was proposed for improving gene regulatory networks. …”
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Table3_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX
Published 2023“…Weighted gene coexpression network analysis (WGCNA) and two machine learning algorithms were employed to identify potential biomarkers for CRPC. …”