Visual Studio Magazine

Anomaly Detection Using Principal Component Analysis (PCA)

A good way to see where this article is headed is to take a look at the screen shot of a demo program shown in Figure 1. The demo sets up a dummy dataset of six items: [ 5.1 3.5 1.4 0.2] [ 5.4 3.9 1.7 ...
Visual Studio Magazine

Principal Component Analysis from Scratch Using Singular Value Decomposition with C#

Principal Component Analysis from Scratch Using Singular Value Decomposition with C# Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a classical ML technique ...
JSTOR Daily

Interpreting 16S rDNA T-RFLP Data: Application of Self-Organizing Maps and Principal Component Analysis to Describe Community Dynamics and Convergence

Interpreting the large amount of data generated by rapid profiling techniques, such as T-RFLP, DGGE, and DNA arrays, is a difficult problem facing microbial ecologists. This study compares the ability ...
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, ...
eLife

Causal associations between human plasma proteins and prostate cancer identified by proteome-wide Mendelian randomization

The identification of 20 causal plasma proteins for prostate cancer represents a critical step toward addressing the need for improved diagnostic specificity and reveals promising new targets for ...