𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Stochastically Independent Components in the Analysis of Variance

✍ Scribed by Dr. T. Drwięga


Publisher
John Wiley and Sons
Year
1982
Tongue
English
Weight
471 KB
Volume
24
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Independent component analysis of fMRI d
✍ Martin J. McKeown; Terrence J. Sejnowski 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 88 KB 👁 1 views

Independent component analysis (ICA), which separates fMRI data into spatially independent patterns of activity, has recently been shown to be a suitable method for exploratory fMRI analysis. The validity of the assumptions of ICA, mainly that the underlying components are spatially independent and

Power of variance component linkage anal
✍ Braxton D. Mitchell; Soumitra Ghosh; Jennifer L. Schneider; Gunther Birznieks; J 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 96 KB

Variance component methods are now being used in linkage analysis to detect genes influencing complex diseases. These methods are easily extended to allow for simultaneous estimation of both the additive effects of multiple loci on phenotypic variation (conditional oligogenic analysis) and the addit

Variance Component Estimation for Mixed
✍ Barbara Sarholz; Hans-Peter Piepho 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 406 KB 👁 2 views

## Abstract Microarrays provide a valuable tool for the quantification of gene expression. Usually, however, there is a limited number of replicates leading to unsatisfying variance estimates in a gene‐wise mixed model analysis. As thousands of genes are available, it is desirable to combine inform