Weighted gene co-expression network analysis to identify key modules and hub genes associated with paucigranulocytic asthma

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Weighted gene co-expression network analysis to identify key modules and hub genes associated with paucigranulocytic asthma

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Asthma is a heterogeneous disease that can be divided into four inflammatory phenotypes: Eosinophilic asthma (EA), neutrophilic asthma (NA), mixed granulocytic asthma (MGA), and paucigranulocytic asthma (PGA). |

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Weighted gene co-expression network analysis to identify key modules and hub genes associated with paucigranulocytic asthma

Asthma is a heterogeneous disease that can be divided into four inflammatory phenotypes: Eosinophilic asthma (EA), neutrophilic asthma (NA), mixed granulocytic asthma (MGA), and paucigranulocytic asthma (PGA). |

Assessment of weighted topological overlap (wTO) to improve fidelity of gene co-expression networks

Weighted gene co-expression network analysis unveils gene networks associated with the Fusarium head blight resistance in tetraploid wheat

Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSO

Identifying the hub genes for Duchenne muscular dystrophy and Becker muscular dystrophy by weighted correlation network analysis

GScluster: Network-weighted gene-set clustering analysis

Seven key hub genes identified by gene co-expression network in cutaneous squamous cell carcinoma

Grouping miRNAs of similar functions via weighted information content of gene ontology

Disentangling the aging gene expression network of termite queens

Developmental transcriptomics of Chinese cordyceps reveals gene regulatory network and expression profiles of sexual development-related genes

Identification of a tumor microenvironment-related seven-gene signature for predicting prognosis in bladder cancer

Đang chuẩn bị liên kết để tải về tài liệu: Weighted gene co-expression network analysis to identify key modules and hub genes associated with paucigranulocytic asthma

Asthma is a heterogeneous disease that can be divided into four inflammatory phenotypes: Eosinophilic asthma (EA), neutrophilic asthma (NA), mixed granulocytic asthma (MGA), and paucigranulocytic asthma (PGA). |

Assessment of weighted topological overlap (wTO) to improve fidelity of gene co-expression networks

Weighted gene co-expression network analysis unveils gene networks associated with the Fusarium head blight resistance in tetraploid wheat

Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSO

Identifying the hub genes for Duchenne muscular dystrophy and Becker muscular dystrophy by weighted correlation network analysis

GScluster: Network-weighted gene-set clustering analysis

Seven key hub genes identified by gene co-expression network in cutaneous squamous cell carcinoma

Grouping miRNAs of similar functions via weighted information content of gene ontology

Disentangling the aging gene expression network of termite queens

Developmental transcriptomics of Chinese cordyceps reveals gene regulatory network and expression profiles of sexual development-related genes

Identification of a tumor microenvironment-related seven-gene signature for predicting prognosis in bladder cancer

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Weighted gene co-expression network analysis to identify key modules and hub genes associated with paucigranulocytic asthma