19 results on '"Pal, Lipika R."'
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2. Predicting venous thromboembolism risk from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges
3. Reports from the fifth edition of CAGI: The Critical Assessment of Genome Interpretation
4. Assessing the performance of in silico methods for predicting the pathogenicity of variants in the gene CHEK2, among Hispanic females with breast cancer
5. Assessment of predicted enzymatic activity of α‐ N ‐acetylglucosaminidase variants of unknown significance for CAGI 2016
6. Assessment of patient clinical descriptions and pathogenic variants from gene panel sequences in the CAGI‐5 intellectual disability challenge
7. CAGI SickKids challenges: Assessment of phenotype and variant predictions derived from clinical and genomic data of children with undiagnosed diseases
8. Back Cover, Volume 40, Issue 9
9. Assessment of methods for predicting the effects of PTEN and TPMT protein variants
10. Assessing computational predictions of the phenotypic effect of cystathionine‐beta‐synthase variants
11. Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges
12. CAGI4 Crohn's exome challenge: Marker SNP versus exome variant models for assigning risk of Crohn disease
13. Ensemble variant interpretation methods to predict enzyme activity and assign pathogenicity in the CAGI4 NAGLU (Human N‐acetyl‐glucosaminidase) and UBE2I (Human SUMO‐ligase) challenges
14. CAGI4 SickKids clinical genomes challenge: A pipeline for identifying pathogenic variants
15. Determination of disease phenotypes and pathogenic variants from exome sequence data in the CAGI 4 gene panel challenge
16. Matching phenotypes to whole genomes: Lessons learned from four iterations of the personal genome project community challenges
17. Lessons from the CAGI‐4 Hopkins clinical panel challenge
18. Performance of in silico tools for the evaluation of p16INK4a (CDKN2A) variants in CAGI
19. Predicting venous thromboembolism risk from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges
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