Comparison and visualisation of agreement for paired lists of rankings

• Published in: Statistical applications in genetics and molecular biology Vol. 16; no. 1; pp. 31 - 45
• Main Authors: Donald, Margaret R., Wilson, Susan R.
• Format: Journal Article
• Language: English
• Published: Germany De Gruyter 01.03.2017; Walter de Gruyter GmbH
• Subjects: Agreements; Bayes Theorem; Bayesian analysis; Breast; Computational Biology - methods; Gene Expression; Gene Expression Profiling; Genes; Humans; Lists; Microarray Analysis; Oligonucleotide Array Sequence Analysis; Probability; Splines
• ISSN: 2194-6302; 1544-6115
• DOI: 10.1515/sagmb-2016-0036

Output from analysis of a high-throughput ‘omics’ experiment very often is a ranked list. One commonly encountered example is a ranked list of differentially expressed genes from a gene expression experiment, with a length of many hundreds of genes. There are numerous situations where interest is in the comparison of outputs following, say, two (or more) different experiments, or of different approaches to the analysis that produce different ranked lists. Rather than considering exact agreement between the rankings, following others, we consider two ranked lists to be in agreement if the rankings differ by some fixed distance. Generally only a relatively small subset of the top-ranked items will be in agreement. So the aim is to find the point at which the probability of agreement in rankings changes from being greater than 0.5 to being less than 0.5. We use penalized splines and a Bayesian logit model, to give a nonparametric smooth to the sequence of agreements, as well as pointwise credible intervals for the probability of agreement. Our approach produces a point estimate and a credible interval for . R code is provided. The method is applied to rankings of genes from breast cancer microarray experiments.