An efficient PAM spatial clustering algorithm based on Map Reduce. Yue J,Mao S,Li M,et al. Proceedings of2014 22ndInternational Conference on Geoinformatics . 2014An efficient PAM spatial clustering algorithm based on Map Reduce. Yue J,Mao SJ,Li M,Zou XS. Proc.of the 22nd Int’’l Conf....
The ever-expanding set of CRISPR technologies and their programmable RNA-guided nucleases exhibit remarkable flexibility in DNA targeting. However, this flexibility comes with an ever-present constraint: the requirement for a protospacer adjacent motif (
We also include a brief recap on the history of the PAM algorithm, updated and more extensive benchmarks on additional data sets, and cover additional related work. 1.1. On the history of PAM In the early eighties many clustering methods were restricted to dealing with metric data, i.e.,...
makes calls based on the 50 gene centroid correlation distance to LA, LB, Basal, Her2 and normal-like centroids. However, the application of the PAM50 algorithm has its challenges. The