WGCNA analysis of GSE21374.
<p><b>A.</b> Cluster Dendrogram: Hierarchical clustering of genes, with branches representing gene modules, color-coded below the dendrogram. These modules reflect co-expressed genes potentially involved in transplant rejection. <b>B.</b> Scale Independence and Mean Con...
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| مؤلفون آخرون: | , , , , |
| منشور في: |
2024
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| _version_ | 1852024869582012416 |
|---|---|
| author | Xihao Shen (20347942) |
| author2 | Jiyue Wu (3814717) Feilong Zhang (420300) Qing Bi (3864823) Zejia Sun (10031646) Wei Wang (17594) |
| author2_role | author author author author author |
| author_facet | Xihao Shen (20347942) Jiyue Wu (3814717) Feilong Zhang (420300) Qing Bi (3864823) Zejia Sun (10031646) Wei Wang (17594) |
| author_role | author |
| dc.creator.none.fl_str_mv | Xihao Shen (20347942) Jiyue Wu (3814717) Feilong Zhang (420300) Qing Bi (3864823) Zejia Sun (10031646) Wei Wang (17594) |
| dc.date.none.fl_str_mv | 2024-11-27T18:29:32Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0312272.s001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/WGCNA_analysis_of_GSE21374_/27920695 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Cell Biology Genetics Molecular Biology Neuroscience Biotechnology Developmental Biology Marine Biology Cancer Virology Computational Biology weighted gene co two clusters underscored multiple established databases machine learning algorithms integrative machine learning gene expression omnibus demographic shift towards consensus clustering algorithm b >(</ b aged donor kidneys term graft outcomes expression network analysis differential expression analysis comprehensive analysis underscores worse graft survival reduced graft survival predicting graft survival two rejection clusters rejection remains elusive optimal acute rejection delayed graft function ktx rejection poses ktx rejection occurrence identify predictive srgs invasive diagnostic model kidney transplant rejection graft survival ktx rejection kidney graft diagnostic model kidney rejection gsva analysis cluster analysis allograft function rejection samples diagnosing rejection prognostic model kidney transplantation xlink "> wgcna ), significant threat related genes provided microarray positive correlation level landscape ischemic damage detailed cellular conducted using conclusions drawn cluster c1 c2 ). |
| dc.title.none.fl_str_mv | WGCNA analysis of GSE21374. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p><b>A.</b> Cluster Dendrogram: Hierarchical clustering of genes, with branches representing gene modules, color-coded below the dendrogram. These modules reflect co-expressed genes potentially involved in transplant rejection. <b>B.</b> Scale Independence and Mean Connectivity: Left: Scale-free topology model fit (R^2) versus soft-thresholding power, ensuring network adherence to a scale-free topology. Right: Mean connectivity as a function of soft-thresholding power, used to determine the optimal network parameters. <b>C.</b> Network Heatmap: Topological overlap matrix (TOM) heatmap showing the strength of connections between genes, with dendrograms and module colors corresponding to (<b>A</b>).</p> <p>(TIF)</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_daa18cf7541a7f2d2497dfecce802a3a |
| identifier_str_mv | 10.1371/journal.pone.0312272.s001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27920695 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | WGCNA analysis of GSE21374.Xihao Shen (20347942)Jiyue Wu (3814717)Feilong Zhang (420300)Qing Bi (3864823)Zejia Sun (10031646)Wei Wang (17594)Cell BiologyGeneticsMolecular BiologyNeuroscienceBiotechnologyDevelopmental BiologyMarine BiologyCancerVirologyComputational Biologyweighted gene cotwo clusters underscoredmultiple established databasesmachine learning algorithmsintegrative machine learninggene expression omnibusdemographic shift towardsconsensus clustering algorithmb >(</ baged donor kidneysterm graft outcomesexpression network analysisdifferential expression analysiscomprehensive analysis underscoresworse graft survivalreduced graft survivalpredicting graft survivaltwo rejection clustersrejection remains elusiveoptimal acute rejectiondelayed graft functionktx rejection posesktx rejection occurrenceidentify predictive srgsinvasive diagnostic modelkidney transplant rejectiongraft survivalktx rejectionkidney graftdiagnostic modelkidney rejectiongsva analysiscluster analysisallograft functionrejection samplesdiagnosing rejectionprognostic modelkidney transplantationxlink ">wgcna ),significant threatrelated genesprovided microarraypositive correlationlevel landscapeischemic damagedetailed cellularconducted usingconclusions drawncluster c1c2 ).<p><b>A.</b> Cluster Dendrogram: Hierarchical clustering of genes, with branches representing gene modules, color-coded below the dendrogram. These modules reflect co-expressed genes potentially involved in transplant rejection. <b>B.</b> Scale Independence and Mean Connectivity: Left: Scale-free topology model fit (R^2) versus soft-thresholding power, ensuring network adherence to a scale-free topology. Right: Mean connectivity as a function of soft-thresholding power, used to determine the optimal network parameters. <b>C.</b> Network Heatmap: Topological overlap matrix (TOM) heatmap showing the strength of connections between genes, with dendrograms and module colors corresponding to (<b>A</b>).</p> <p>(TIF)</p>2024-11-27T18:29:32ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0312272.s001https://figshare.com/articles/figure/WGCNA_analysis_of_GSE21374_/27920695CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/279206952024-11-27T18:29:32Z |
| spellingShingle | WGCNA analysis of GSE21374. Xihao Shen (20347942) Cell Biology Genetics Molecular Biology Neuroscience Biotechnology Developmental Biology Marine Biology Cancer Virology Computational Biology weighted gene co two clusters underscored multiple established databases machine learning algorithms integrative machine learning gene expression omnibus demographic shift towards consensus clustering algorithm b >(</ b aged donor kidneys term graft outcomes expression network analysis differential expression analysis comprehensive analysis underscores worse graft survival reduced graft survival predicting graft survival two rejection clusters rejection remains elusive optimal acute rejection delayed graft function ktx rejection poses ktx rejection occurrence identify predictive srgs invasive diagnostic model kidney transplant rejection graft survival ktx rejection kidney graft diagnostic model kidney rejection gsva analysis cluster analysis allograft function rejection samples diagnosing rejection prognostic model kidney transplantation xlink "> wgcna ), significant threat related genes provided microarray positive correlation level landscape ischemic damage detailed cellular conducted using conclusions drawn cluster c1 c2 ). |
| status_str | publishedVersion |
| title | WGCNA analysis of GSE21374. |
| title_full | WGCNA analysis of GSE21374. |
| title_fullStr | WGCNA analysis of GSE21374. |
| title_full_unstemmed | WGCNA analysis of GSE21374. |
| title_short | WGCNA analysis of GSE21374. |
| title_sort | WGCNA analysis of GSE21374. |
| topic | Cell Biology Genetics Molecular Biology Neuroscience Biotechnology Developmental Biology Marine Biology Cancer Virology Computational Biology weighted gene co two clusters underscored multiple established databases machine learning algorithms integrative machine learning gene expression omnibus demographic shift towards consensus clustering algorithm b >(</ b aged donor kidneys term graft outcomes expression network analysis differential expression analysis comprehensive analysis underscores worse graft survival reduced graft survival predicting graft survival two rejection clusters rejection remains elusive optimal acute rejection delayed graft function ktx rejection poses ktx rejection occurrence identify predictive srgs invasive diagnostic model kidney transplant rejection graft survival ktx rejection kidney graft diagnostic model kidney rejection gsva analysis cluster analysis allograft function rejection samples diagnosing rejection prognostic model kidney transplantation xlink "> wgcna ), significant threat related genes provided microarray positive correlation level landscape ischemic damage detailed cellular conducted using conclusions drawn cluster c1 c2 ). |