Using game theory and decision decomposition to effectively discern and characterise bi-locus diseases

作者：

Highlights：

• Different bi-locus effects are effectively discriminated by our predictor.

• We present a biologically interpretable characterisation of three bi-locus effects.

• Dual-molecular diagnosis cases present a distinct variant signature.

摘要

•Different bi-locus effects are effectively discriminated by our predictor.•We present a biologically interpretable characterisation of three bi-locus effects.•Dual-molecular diagnosis cases present a distinct variant signature.

论文关键词：Oligogenic disease,Classification,Game theory,Random forest,Feature interpretation

论文评审过程：Received 11 September 2018, Revised 21 June 2019, Accepted 30 June 2019, Available online 23 July 2019, Version of Record 10 August 2019.

论文官网地址：https://doi.org/10.1016/j.artmed.2019.06.006