| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bmcsb/ChuHCCRLBRLQS14 |
| P6179 | Dimensions Publication ID | 1016068422 |
| P356 | DOI | 10.1186/1752-0509-8-78 |
| P2888 | exact match | https://scigraph.springernature.com/pub.10.1186/1752-0509-8-78 |
| P932 | PMC publication ID | 4105829 |
| P698 | PubMed publication ID | 24964944 |
| P5875 | ResearchGate publication ID | 263431495 |
| P50 | author | John Quackenbush | Q6253638 |
| Nan Laird | Q6962218 | ||
| Jen-hwa Chu | Q42886051 | ||
| Joseph Loscalzo | Q64498968 | ||
| P2093 | author name string | Stephen Rennard | |
| Craig P Hersh | |||
| Edwin K Silverman | |||
| Michael H Cho | |||
| Peter J Castaldi | |||
| Benjamin A Raby | |||
| Russell Bowler | |||
| P2860 | cites work | A dynamic network approach for the study of human phenotypes | Q21145365 |
| The human disease network | Q24678240 | ||
| Risk loci for chronic obstructive pulmonary disease: a genome-wide association study and meta-analysis | Q29416987 | ||
| Network medicine: a network-based approach to human disease | Q29547462 | ||
| Transcriptomic analysis of autistic brain reveals convergent molecular pathology | Q29614877 | ||
| Interactome networks and human disease | Q29615773 | ||
| Modularity-based credible prediction of disease genes and detection of disease subtypes on the phenotype-gene heterogeneous network. | Q31014656 | ||
| From correlation to causation networks: a simple approximate learning algorithm and its application to high-dimensional plant gene expression data | Q31121019 | ||
| Seeded Bayesian Networks: constructing genetic networks from microarray data | Q31161604 | ||
| Shortest path analysis using partial correlations for classifying gene functions from gene expression data | Q33382614 | ||
| A genome-wide association study in chronic obstructive pulmonary disease (COPD): identification of two major susceptibility loci. | Q33419815 | ||
| A genome-wide association study of pulmonary function measures in the Framingham Heart Study | Q33419839 | ||
| Variants in FAM13A are associated with chronic obstructive pulmonary disease | Q33687879 | ||
| Relationships between airflow obstruction and quantitative CT measurements of emphysema, air trapping, and airways in subjects with and without chronic obstructive pulmonary disease | Q33792369 | ||
| Quantifying differential gene connectivity between disease states for objective identification of disease-relevant genes. | Q33917439 | ||
| Exploring and exploiting disease interactions from multi-relational gene and phenotype networks. | Q33987719 | ||
| Genetic epidemiology of COPD (COPDGene) study design | Q34074731 | ||
| Characterisation of COPD heterogeneity in the ECLIPSE cohort | Q34149510 | ||
| Clinical data mining of phenotypic network in angina pectoris of coronary heart disease | Q34419330 | ||
| Chronic obstructive pulmonary disease exacerbations in the COPDGene study: associated radiologic phenotypes | Q35249531 | ||
| Exacerbations in chronic obstructive pulmonary disease: do they contribute to disease progression? | Q37029581 | ||
| Addressing the complexity of chronic obstructive pulmonary disease: from phenotypes and biomarkers to scale-free networks, systems biology, and P4 medicine | Q37822219 | ||
| Inferring causal phenotype networks using structural equation models | Q37839259 | ||
| An empirical Bayes approach to inferring large-scale gene association networks. | Q48519116 | ||
| A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics. | Q51942760 | ||
| Computed tomography phenotypes in severe, early-onset chronic obstructive pulmonary disease. | Q53452159 | ||
| Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points (ECLIPSE) | Q57955885 | ||
| P921 | main subject | chronic obstructive pulmonary disease | Q199804 |
| P304 | page(s) | 78 | |
| P577 | publication date | 2014-06-25 | |
| P1433 | published in | BMC Systems Biology | Q4835949 |
| P1476 | title | Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD | |
| P478 | volume | 8 |
| Q58578842 | A Network Analysis of Biomarkers for Type 2 Diabetes |
| Q92524336 | A gene based approach to test genetic association based on an optimally weighted combination of multiple traits |
| Q52313009 | A hierarchical clustering method for dimension reduction in joint analysis of multiple phenotypes. |
| Q37303484 | An Adaptive Fisher's Combination Method for Joint Analysis of Multiple Phenotypes in Association Studies |
| Q48301579 | Biological Network Modeling and Systems Biology to Advance Our Understanding of Lung Disease. |
| Q54225498 | COPD: time to improve its taxonomy? |
| Q51615224 | Evaluation of the visit frequency and the use of questionnaires and indices for COPD: a national survey from the On-Sint study. |
| Q30976798 | From big data analysis to personalized medicine for all: challenges and opportunities |
| Q91062631 | Gene network approach reveals co-expression patterns in nasal and bronchial epithelium |
| Q35971572 | Identification of Gene Networks for Residual Feed Intake in Angus Cattle Using Genomic Prediction and RNA-seq. |
| Q90199040 | Joint analysis of multiple phenotypes using a clustering linear combination method based on hierarchical clustering |
| Q38243943 | Moving beyond genetics: is FAM13A a major biological contributor in lung physiology and chronic lung diseases? |
| Q27027259 | Personalized respiratory medicine: exploring the horizon, addressing the issues. Summary of a BRN-AJRCCM workshop held in Barcelona on June 12, 2014 |
| Q94371782 | Precision Medicine |
| Q43055273 | Synergy-COPD: a systems approach for understanding and managing chronic diseases |
| Q35688664 | Systems medicine: evolution of systems biology from bench to bedside |
| Q90499799 | Testing an optimally weighted combination of common and/or rare variants with multiple traits |
| Q90186673 | Testing gene-environment interactions for rare and/or common variants in sequencing association studies |
Search more.