摘要:
The methods discussed herein can extract relevant signals from sparse data sets, for instance in cryptographic analysis, noise reduction, pattern recognition, or computational genetics. The present solution can improve technological performance of an analytical device such as through reducing server load, computation time, and data storage sizes. The present solution can identify relevant signals, such as genetic variants with a high probability of pathogenicity, in large, sparse data sets.
摘要:
Provided are methods and systems for determining the clinical significance of a genetic variant. The methods entail determining, for the variant, (a) a function score based on known impact of the variant on a biological function of a cell or protein, (b) a frequency score based on the frequency of the variant in a population, (c) a co-occurrence score based on how the variant co-occurs with a reference variant having known clinical significance relating to a clinical disease or condition, and (d) a family segregation score based on how the variant segregates with a disease or condition in a family; and aggregating, on a computer, the function score, the frequency score, the co-occurrence score, the family segregation score to generate a clinical significance score indicating the clinical significance of the genetic variant.
摘要:
Aspects of the invention relate to methods and compositions for efficient nucleic acid delivery of hydrophobic modified nucleic acids complexed with glucan particles.