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1. Predicting congenital renal tract malformation genes using machine learning

2. Using zebrafish larval models to study brain injury, locomotor and neuroinflammatory outcomes following intracerebral haemorrhage [version 2; referees: 2 approved]

3. Using zebrafish larval models to study brain injury, locomotor and neuroinflammatory outcomes following intracerebral haemorrhage [version 1; referees: 1 approved, 1 approved with reservations]

4. Author Correction: Novel mutations in PIEZO1 cause an autosomal recessive generalized lymphatic dysplasia with non-immune hydrops fetalis

5. Genetic resiliency associated with dominant lethal

6. Integration of Large-Scale Genomic Data Sources With Evolutionary History Reveals Novel Genetic Loci for Congenital Heart Disease

7. Genetic Resiliency Associated With Dominant Lethal TPM1 Mutation Causing Atrial Septal Defect With High Heritability

8. Genetic resiliency associated with dominant lethal TPM1 mutation causing atrial septal defect with high heritability

9. C Identification of the major genetic contributors to tetralogy of fallot

10. Author Correction: Novel mutations in PIEZO1 cause an autosomal recessive generalized lymphatic dysplasia with non-immune hydrops fetalis

11. Whole Exome Sequencing Reveals the Major Genetic Contributors to Nonsyndromic Tetralogy of Fallot

13. Aetiology, genes, and environment

14. Deleterious genetic variants in NOTCH1 are a major contributor to the incidence of non-syndromic Tetralogy of Fallot

16. 162 Combinatorial analysis of exome sequencing data and copy number variants in congenital heart disease patients

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