JSTOR Daily

Principal Component Analyses of Assemblage Structure Data: Utility of Tests Based on Eigenvalues

We examined the ability of eigenvalue tests to distinguish field-collected from random, assemblage structure data sets. Eight published time series of species abundances were used in the analysis, ...
Nature

Sparse Principal Component Analysis in High-Dimensional Data

Sparse Principal Component Analysis (sparse PCA) represents a significant advance in the field of dimensionality reduction for high-dimensional data. Unlike conventional Principal Component Analysis ...
JSTOR Daily

Principal Components Analysis as a Tool for Interpreting Nure Aerial Radiometric Survey Data

This is a preview. Log in through your library . Abstract Since 1974 the Grand Junction, Colorado, Office, U.S. Department of Energy, through its National Uranium Resource Evaluation (NURE) program, ...
Science Daily

Structure Of Key Epigenetics Component Identified

Scientists from the Structural Genomics Consortium have determined the 3-D structure of a key protein component involved in enabling "epigenetic code" to be copied accurately from cell to cell. The ...