xuelilyli / BiG Public

Notifications You must be signed in to change notification settings
Fork 0
Star 2

Bayesian Aggregation in Genomic applications: a Bayesian latent variable approach for rank aggregation of partial and top ranked lists

2 stars 0 forks Branches Tags Activity

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
BiG.pdf		BiG.pdf
README.md		README.md
code_Bayes.R		code_Bayes.R
code_DA.R		code_DA.R
code_FB.R		code_FB.R
code_gamma.R		code_gamma.R
code_unif.R		code_unif.R
fullmodel.R		fullmodel.R
gammaprior.R		gammaprior.R
unifprior.R		unifprior.R

Repository files navigation

BiG

Bayesian Aggregation in Genomic applications: a Bayesian latent variable approach for rank aggregation of partial and top ranked lists

For more instruction on how to use the code, please see BiG.pdf

For more information on the underlying methodologies, please refer to the below papers:

Li, X., Choudhary, P. K., Biswas, S., and Wang, X.* (2018), “A Bayesian Latent Variable Approach to Aggregation of Partial and Top Ranked Lists in Genomic Studies”. Statistics in Medicine, 37(28). 4266-4278. DOI: 10.1002/sim.7920.

Li, X. and Wang, X.* and Xiao, G. (2019), “A Comparative Study of Rank Aggregation Methods for Partial and Top Ranked Lists in Genomic Applications”. Briefings in Bioinformatics, 20(1), 178-189. DOI: 10.1093/bib/bbx101.