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2 hours ago by

Hi all,

I am wondering what is the basic idea of modifying the original algorithm in order to develop novel algorithm.

For example in genetic risk score calculation, the original equation is GRS <- log(odd ratio) * (No. of risk allele).

But, the extended ones can be found in LDpred, metaGRS, lassosum as example where the various features was added into the original GRS equation in many way such as Bayesian approach (LDpred).

For my rough understanding (I dont know if it is correct), the modified one can be developed from the observation in that problem and try to add new variable into the original one in certain ways. After that the new one is subsequently validated.

What is concept behind this process or any detailed guide ?

Thanks a lot.

Yean

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Yean10



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