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Implement variant association analysis (chi-square, linear/logistic regression) using Spark MLlib #126

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jtarraga opened this issue Jun 1, 2017 · 0 comments
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jtarraga commented Jun 1, 2017

The package should provide variant association analysis such as chi-square, linear and logistic regression. Spark's Machine Learning library (MLlib) provides a rich API to implement them in a bigdata environment.

Association tests:

  • Chi-square
  • Logistic regression
  • Linear regression

Taking into account the following genetic models:

  • Dominant
  • Recessive
  • Additive effects of allele dosage
@jtarraga jtarraga self-assigned this Jun 1, 2017
@jtarraga jtarraga changed the title Implement variant analysis (linear/logistic regression, PCA...) using Spark MLlib Implement variant association analysis (chi-square, linear/logistic regression) using Spark MLlib Jun 6, 2017
jtarraga added a commit that referenced this issue Jun 9, 2017
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