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Parameterization of asymmetric sigmoid functions in weighted gene co-expression network analysis

Computational Biology and Chemistry
In most the biological contexts, examining gene expressions at the genomic level gives more accurate results than examining genes individually. It can improve understanding of the molecular mechanisms that cause molecular alterations. Weighted gene co-expression network analysis (WGCNA), which has recently been widely used to cluster transcriptomic ...
Muhammed Erkan Karabekmez, Merve Yarici
openaire   +2 more sources

A Weighted Gene Co-Expression Network Analysis Based on Iterative Learning

2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS), 2019
Gene co-expression networks are widely used in field of exploring gene function and describe connections not only between genes in the network, but also between gene and trait of biological significance. As a part of building gene co-expression network, the adjacency function plays an important role in describing the connections between genes, which ...
Meijuan Yu, Yan Li, Fengjun Gong
openaire   +1 more source

[Weighted gene co-expression network analysis in biomedicine research].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology, 2018
High-throughput biological technologies are now widely applied in biology and medicine, allowing scientists to monitor thousands of parameters simultaneously in a specific sample. However, it is still an enormous challenge to mine useful information from high-throughput data.
Wei, Liu, Li, Li, Hua, Ye, Wei, Tu
openaire   +1 more source

Identification and core gene-mining of Weighted Gene Co-expression Network Analysis-based co-expression modules related to flood resistance in quinoa seedlings

BMC Genomics
Background As an emerging food crop with high nutritional value, quinoa has been favored by consumers in recent years; however, flooding, as an abiotic stress, seriously affects its growth and development.
Xu-Qin Wang   +8 more
semanticscholar   +1 more source

Weighted Gene Co-expression Network Analysis of Gene Modules for Lung Adenocarcinoma

2018 5th International Conference on Systems and Informatics (ICSAI), 2018
Yuanyuan Zhai   +3 more
openaire   +2 more sources

[Weighted gene co-expression network analysis in biomedicine research].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology, 2017
Wei Liu, Li Li, Hua Ye, Wei Tu
semanticscholar   +1 more source

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