| scholarly article | Q13442814 |
| P2093 | author name string | Jiaqi Chen | |
| Xia Chen | |||
| Ling Yu | |||
| Siwei Zhang | |||
| P2860 | cites work | The structure of a gene co-expression network reveals biological functions underlying eQTLs | Q21133601 |
| WGCNA: an R package for weighted correlation network analysis | Q21284194 | ||
| A novel transcription factor, T-bet, directs Th1 lineage commitment | Q22253874 | ||
| Executive Summary: Heart Disease and Stroke Statistics--2016 Update: A Report From the American Heart Association | Q40061255 | ||
| Expression imbalance of transcription factors GATA-3 and T-bet in post-resuscitation myocardial immune dysfunction in a porcine model of cardiac arrest | Q43683243 | ||
| Gene co-expression network topology provides a framework for molecular characterization of cellular state | Q45205691 | ||
| A gene expression map for Caenorhabditis elegans. | Q48342750 | ||
| Post myocardial infarction and atrial fibrillation: Thromboprophylaxis and risk stratification using the CHA2DS2-VASc score | Q48424462 | ||
| Gene essentiality, gene duplicability and protein connectivity in human and mouse | Q51708452 | ||
| oneChannelGUI: a graphical interface to Bioconductor tools, designed for life scientists who are not familiar with R language | Q51905756 | ||
| Presence of perforin in endomyocardial biopsies of patients with inflammatory cardiomyopathy predicts poor outcome | Q56958543 | ||
| Aetiology of unsuccessful prehospital witnessed cardiac arrest of unclear origin | Q83298754 | ||
| Defining heart failure end points in ST-segment elevation myocardial infarction trials: integrating past experiences to chart a path forward | Q84587695 | ||
| Gene ontology: tool for the unification of biology | Q23781406 | ||
| KEGG: kyoto encyclopedia of genes and genomes | Q24515297 | ||
| Cytoscape: a software environment for integrated models of biomolecular interaction networks | Q24515682 | ||
| Variations in DNA elucidate molecular networks that cause disease | Q24622333 | ||
| The human disease network | Q24678240 | ||
| JASPAR 2016: a major expansion and update of the open-access database of transcription factor binding profiles | Q24700982 | ||
| GOTree Machine (GOTM): a web-based platform for interpreting sets of interesting genes using Gene Ontology hierarchies | Q24801173 | ||
| The Gene Ontology (GO) project in 2006 | Q25257646 | ||
| The KEGG resource for deciphering the genome | Q27860687 | ||
| Network biology: understanding the cell's functional organization | Q27861027 | ||
| Lethality and centrality in protein networks | Q29547267 | ||
| affy--analysis of Affymetrix GeneChip data at the probe level | Q29547353 | ||
| Cytoscape 2.8: new features for data integration and network visualization | Q29547471 | ||
| Heart disease and stroke statistics--2012 update: a report from the American Heart Association | Q29547909 | ||
| Transcriptomic analysis of autistic brain reveals convergent molecular pathology | Q29614877 | ||
| A general framework for weighted gene co-expression network analysis | Q29617580 | ||
| Hierarchical organization of modularity in metabolic networks | Q29618451 | ||
| Screening genes crucial for pediatric pilocytic astrocytoma using weighted gene coexpression network analysis combined with methylation data analysis | Q30855264 | ||
| Human gene coexpression landscape: confident network derived from tissue transcriptomic profiles | Q33392867 | ||
| Heart failure management: the present and the future | Q33605156 | ||
| Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements | Q33910269 | ||
| Transcriptome from circulating cells suggests dysregulated pathways associated with long-term recurrent events following first-time myocardial infarction. | Q33969250 | ||
| Homology of perforin to the ninth component of complement (C9). | Q34171313 | ||
| Structure and function of human perforin | Q34178477 | ||
| Large-scale gene function analysis with the PANTHER classification system | Q34358449 | ||
| Altered gene expression pattern in peripheral blood mononuclear cells in patients with acute myocardial infarction | Q34490950 | ||
| Heart Disease and Stroke Statistics-2016 Update: A Report From the American Heart Association | Q34505315 | ||
| Evaluation of gene association methods for coexpression network construction and biological knowledge discovery | Q34505364 | ||
| A systems biology approach for pathway level analysis | Q36004656 | ||
| Functional organization of the transcriptome in human brain | Q37373520 | ||
| Weighted gene coexpression network analysis: state of the art. | Q37716707 | ||
| Perforin: a key pore-forming protein for immune control of viruses and cancer | Q38209511 | ||
| Changes in gene expression patterns in the ureteric bud and metanephric mesenchyme in models of kidney development | Q38347715 | ||
| Systemic inflammatory response following acute myocardial infarction | Q38531965 | ||
| The molecular basis for perforin oligomerization and transmembrane pore assembly | Q39850780 | ||
| P4510 | describes a project that uses | Cytoscape | Q3699942 |
| WGCNA | Q102537983 | ||
| limma | Q112236343 | ||
| P921 | main subject | myocardial infarction | Q12152 |
| biomarker | Q864574 | ||
| diagnosis | Q16644043 | ||
| P304 | page(s) | 615 | |
| P577 | publication date | 2016-12-09 | |
| P1433 | published in | Frontiers in Physiology | Q2434141 |
| P1476 | title | Network Analysis-Based Approach for Exploring the Potential Diagnostic Biomarkers of Acute Myocardial Infarction | |
| P478 | volume | 7 |
| Q92280999 | A transcriptomic model to predict increase in fibrous cap thickness in response to high-dose statin treatment: Validation by serial intracoronary OCT imaging |
| Q60046136 | Identification of Crucial Genes and Pathways in Human Arrhythmogenic Right Ventricular Cardiomyopathy by Coexpression Analysis |
| Q47097019 | Identification of differentially expressed genes, lncRNAs and miRNAs which are associated with tumor malignant phenotypes in hepatoblastoma patients |
| Q42378362 | Identification of two novel biomarkers of rectal carcinoma progression and prognosis via co-expression network analysis |
| Q98195517 | Identifying the pattern of immune related cells and genes in the peripheral blood of ischemic stroke |
| Q92593739 | Investigation of the underlying hub genes and mechanisms of reperfusion injury in patients undergoing coronary artery bypass graft surgery by integrated bioinformatic analyses |
| Q92072946 | Weighted Gene Co-Expression Network Analysis Identifies Critical Genes in the Development of Heart Failure After Acute Myocardial Infarction |
| Q47137071 | Weighted Gene Co-expression Network Analysis Identifies FKBP11 as a Key Regulator in Acute Aortic Dissection through a NF-kB Dependent Pathway |
| Q91842971 | Weighted gene correlation network analysis reveals novel biomarkers associated with mesenchymal stromal cell differentiation in early phase |
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