Philip M. Dixon

TL;DR: VEGAN adds vegetation analysis functions to the general-purpose statistical program R, and implements several ordination methods, including Canonical Correspondence Analysis and Non-metric Multidimensional Scaling, vector fitting of environmental variables, randomization tests, and various other analyses of vegetation data.

TL;DR: In this article, the authors introduced the integral projection model, which eliminates the need for division into discrete classes, without requiring any additional biological assumptions and provides estimates of the asymptotic growth rate, stable size distribution, reproductive values, and sensitivities of the growth rate to changes in vital rates.

TL;DR: Cancers with recurrent somatic HLA mutations were associated with upregulation of signatures of cytolytic activity characteristic of tumor infiltration by effector lymphocytes, supporting immune evasion by altered HLA function as a contributory mechanism in cancer.

TL;DR: In this article, the properties of the Ripley's K function and two related functions are reviewed and interpreted using data on the locations of trees in a swamp hardwood forest, where points can be labeled by a small number of groups.

TL;DR: This work considers several classes of statistical models appropriate for modeling environment-abundance relationships in the presence of spatial autocorrelation, and applies these to three case studies.