85 citations
5 papers
Proximal Methods for Sparse Optimal Scoring and Discriminant Analysis
Summer Atkins, Gudmundur Einarsson, Brendan Ames +1
Linear discriminant analysis (LDA) is a classical method for dimensionality reduction, where discriminant vectors are sought to project data to a lower dimensional space for optima…
PopIns: population-scale detection of novel sequence insertions
Birte Kehr, Páll Melsted, Bjarni V. Halldórsson
The detection of genomic structural variation (SV) has advanced tremendously in recent years due to progress in high-throughput sequencing technologies. Novel sequence insertions,…
Rejoinder: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Dan L. Nicolae, Xiao-Li Meng, Augustine Kong
Rejoinder to "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Universal Negative Poisson Ratio of Self Avoiding Fixed Connectivity Membranes
Mark J. Bowick, A. Cacciuto, G. Thorleifsson +1
We determine the Poisson ratio of self-avoiding fixed-connectivity membranes, modeled as impenetrable plaquettes, to be sigma=-0.37(6), in statistical agreement with the Poisson ra…
Universality Classes of Self-Avoiding Fixed-Connectivity Membranes
Mark J. Bowick, Angelo Cacciuto, Gudmar Thorleifsson +1
We present an analysis of extensive large-scale Monte Carlo simulations of self-avoiding fixed-connectivity membranes for sizes (number of faces) ranging from 512 to 17672 (triangu…