Robert Gentleman

TL;DR: Graph theoretical concepts are given a brief introduction into some of the concepts and their areas of application in molecular biology and a simple application to the integration of a protein-protein interaction and a co-expression network is presented.

TL;DR: It is demonstrated that the differentiation program is genetically determined by E box sequence, whereas cell lineage epigenetically determines the availability of E boxes for each differentiation program.

TL;DR: Two normalization methods are developed that remove technical between‐sample variation by aligning prominent features (landmarks) in the raw data on a per‐channel basis, thereby facilitating the use of automated analyses on large flow cytometry data sets.

TL;DR: In this chapter, some of the basic concepts in machine learning such as the distance function, the socalled confusion matrix, and cross-validation are introduced.

TL;DR: This work extends partial least squares (PLS), a popular dimension reduction tool in chemometrics, in the context of generalized linear regression, based on a previous approach, iteratively reweightedpartial least squares, that is, IRWPLS, and shows that by phrasing the problem in a generalized linear model setting and by applying Firth's procedure to avoid (quasi)separation, one gets lower classification error rates.