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Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia

Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia

http://www.wikidata.org/entity/Q24621301

about

Learning genetic epistasis using Bayesian network scoring criteria Integrative predictive model of coronary artery calcification in atherosclerosis.The Biology of Annexin A2: From Vascular Fibrinolysis to Innate Immunity Genomic approaches to identifying targets for treating β hemoglobinopathies Genetic signatures of exceptional longevity in humans Genetic susceptibility to ischemic stroke.Predictive genomics of cardioembolic stroke.Causal graph-based analysis of genome-wide association data in rheumatoid arthritis Marco Ramoni: an appreciation of academic achievement.CGBayesNets: conditional Gaussian Bayesian network learning and inference with mixed discrete and continuous data.How I manage cerebral vasculopathy in children with sickle cell disease.Learning Bayesian Networks from Correlated Data GenePING: secure, scalable management of personal genomic data.A hierarchical and modular approach to the discovery of robust associations in genome-wide association studies from pooled DNA samples.Evolution and challenges in the design of computational systems for triage assistance.Two-stage approach for identifying single-nucleotide polymorphisms associated with rheumatoid arthritis using random forests and Bayesian networks Sickle cell disease: a multigenic perspective of a single gene disorder.A large-scale rheumatoid arthritis genetic study identifies association at chromosome 9q33.2.My sister's keeper?: genomic research and the identifiability of siblings.Phenotype forecasting with SNPs data through gene-based Bayesian networks.Detection of mammalian virulence determinants in highly pathogenic avian influenza H5N1 viruses: multivariate analysis of published data.Transcriptional network classifiers Genetics of atherothrombotic and lacunar stroke Predicting response to short-acting bronchodilator medication using Bayesian networks.Sickle Cell Disease in the Post Genomic Era: A Monogenic Disease with a Polygenic Phenotype.Reconstructing sickle cell disease: a data-based analysis of the "hyperhemolysis paradigm" for pulmonary hypertension from the perspective of evidence-based medicine.Association analyses of the MAS-QTL data set using grammar, principal components and Bayesian network methodologies.Gene--environment-wide association studies: emerging approaches Genetic modifiers of the severity of sickle cell anemia identified through a genome-wide association study A systems biology consideration of the vasculopathy of sickle cell anemia: the need for multi-modality chemo-prophylaxsis.Data mining approaches for genome-wide association of mood disorders.Haptoglobin, alpha-thalassaemia and glucose-6-phosphate dehydrogenase polymorphisms and risk of abnormal transcranial Doppler among patients with sickle cell anaemia in Tanzania.Leg ulcers in sickle cell disease Biomarkers for early detection of sickle nephropathy Multiple quantitative trait analysis using bayesian networks.Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities.microRNA miR-144 modulates oxidative stress tolerance and associates with anemia severity in sickle cell disease.A transcriptional network signature characterizes lung cancer subtypes Deconstructing sickle cell disease: reappraisal of the role of hemolysis in the development of clinical subphenotypes.Identification of genetic polymorphisms associated with risk for pulmonary hypertension in sickle cell disease

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P2860

Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia

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Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia

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Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia

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Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia

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type

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Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia

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Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia

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Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia

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prefLabel

Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia

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Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia

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Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia

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Nature Genetics

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Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia

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Marco F Ramoni

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Vikki Nolan

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P2860

Requirement of type III TGF-beta receptor for endocardial cell transformation in the heart

A vision for the future of genomics research

Annexin II regulates fibrin homeostasis and neoangiogenesis in vivo

A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data

Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease

Mass spectrometry of single-stranded restriction fragments captured by an undigested complementary sequence.

Inferring cellular networks using probabilistic graphical models.

Sickle cell crisis and endothelin antagonists.

Mathematical multi-locus approaches to localizing complex human trait genes.

The Bayesian revolution in genetics.

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Clinton Baldwin

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Paola Sebastiani

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sickle-cell disease

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