Nonlinear Dimensionality Reduction by Locally Linear Embedding
Many areas of science depend on exploratory data analysis and visualization. The need to analyze large amounts of multivariate data raises the fundamental problem of dimensional...
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Many areas of science depend on exploratory data analysis and visualization. The need to analyze large amounts of multivariate data raises the fundamental problem of dimensional...
Summary In the analysis of data it is often assumed that observations y 1, y 2, …, yn are independently normally distributed with constant variance and with expectations specifi...
Abstract Motivation Recent advances in sequencing technologies promise ultra-long reads of ∼100 kb in average, full-length mRNA or cDNA reads in high throughput and genomic cont...
Wireless distributed microsensor systems will enable the reliable monitoring of a variety of environments for both civil and military applications. In this paper, we look at com...
Since initially writing on thematic analysis in 2006, the popularity of the method we outlined has exploded, the variety of TA approaches have expanded, and, not least, our thin...
The ESH/ESC Guidelines represent the views of the ESH and ESC and were arrived at after careful consideration of the available evidence at the time they were written.Health prof...
Scientists working with large volumes of high-dimensional data, such as global climate patterns, stellar spectra, or human gene distributions, regularly confront the problem of ...
The Gene Expression Omnibus (GEO) project was initiated in response to the growing demand for a public repository for high-throughput gene expression data. GEO provides a flexib...
An enzyme which catalyzes the dismutation of superoxide radicals (O2·- + O2·- + 2H+ → O2 + H2O2) has been purified by a simple procedure from bovine erythrocytes. This enzyme, c...