Pages that link to "Q35051909"

The following pages link to The role of indirect connections in gene networks in predicting function (Q35051909):

Displaying 35 items.

• Characterizing the state of the art in the computational assignment of gene function: lessons from the first critical assessment of functional annotation (CAFA) (Q27496502) (← links)
• A Multilayer Network Approach for Guiding Drug Repositioning in Neglected Diseases (Q28552140) (← links)
• TMA Navigator: Network inference, patient stratification and survival analysis with tissue microarray data (Q30486190) (← links)
• An integrated approach (CLuster Analysis Integration Method) to combine expression data and protein-protein interaction networks in agrigenomics: application on Arabidopsis thaliana (Q30571478) (← links)
• Revealing molecular mechanisms by integrating high-dimensional functional screens with protein interaction data (Q30847567) (← links)
• Protease-Inhibitor Interaction Predictions: Lessons on the Complexity of Protein-Protein Interactions (Q33771019) (← links)
• Acquired dependence of acute myeloid leukemia on the DEAD-box RNA helicase DDX5. (Q33907381) (← links)
• "Guilt by association" is the exception rather than the rule in gene networks (Q34220929) (← links)
• KCTD8 gene and brain growth in adverse intrauterine environment: a genome-wide association study. (Q34239612) (← links)
• A vertex similarity-based framework to discover and rank orphan disease-related genes (Q34529478) (← links)
• Influence of choice of null network on small-world parameters of structural correlation networks (Q34807077) (← links)
• Meta-analysis of gene coexpression networks in the post-mortem prefrontal cortex of patients with schizophrenia and unaffected controls (Q34999939) (← links)
• Predicting gene function using similarity learning (Q35050912) (← links)
• Stability indicators in network reconstruction (Q35108162) (← links)
• FTO, obesity and the adolescent brain (Q36709678) (← links)
• Exploiting single-cell expression to characterize co-expression replicability (Q38392728) (← links)
• Prediction of optimal gene functions for osteosarcoma using network-based- guilt by association method based on gene oncology and microarray profile (Q38434316) (← links)
• Assessing identity, redundancy and confounds in Gene Ontology annotations over time (Q38458235) (← links)
• Bias tradeoffs in the creation and analysis of protein-protein interaction networks (Q38480285) (← links)
• Identification of novel targets for multiple myeloma through integrative approach with Monte Carlo cross-validation analysis (Q38601323) (← links)
• Construction and Optimization of a Large Gene Coexpression Network in Maize Using RNA-Seq Data. (Q38646016) (← links)
• Strength of functional signature correlates with effect size in autism (Q38689140) (← links)
• EGAD: ultra-fast functional analysis of gene networks (Q39086626) (← links)
• Guidance for RNA-seq co-expression network construction and analysis: safety in numbers (Q42608562) (← links)
• Progress and challenges in the computational prediction of gene function using networks (Q42969475) (← links)
• Biological function through network topology: a survey of the human diseasome (Q45847143) (← links)
• Measuring the wisdom of the crowds in network-based gene function inference. (Q45955960) (← links)
• EgoNet identifies differential ego-modules and pathways related to prednisolone resistance in childhood acute lymphoblastic leukemia (Q47654837) (← links)
• Exploration of gene functions for esophageal squamous cell carcinoma using network-based guilt by association principle. (Q52563670) (← links)
• Optimal pathways involved in the treatment of sevoflurane or propofol for patients undergoing coronary artery bypass graft surgery (Q64056376) (← links)
• Identification of the defense-related gene from the wild grapevine using RNA sequencing and ectopic expression analysis in Arabidopsis (Q64085637) (← links)
• Constructing differential co-expression network to predict key pathways for myocardial infarction (Q64100190) (← links)
• Prediction of seed gene function in progressive diabetic neuropathy by a network-based inference method (Q64117723) (← links)
• Prediction of key gene function in spinal muscular atrophy using guilt by association method based on network and gene ontology (Q64271125) (← links)
• Differential coexpression in human tissues and the confounding effect of mean expression levels (Q89456959) (← links)