Titlebook: Weighted Network Analysis; Applications in Geno Steve Horvath Book 2011 Springer Science+Business Media, LLC 2011 newjc.Systems Biology

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Steve Horvathnge of spectroscopic experiments one is primarily concerned with just dynamical properties. These dynamical properties include excitation energies and oscillator strengths in optical spectroscopy, the dynamic or frequency-dependent polarizability in light scattering studies, photoionization cross se

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Steve Horvathsing ultrasound in cancer therapy since the early trials in the 1930s, when ultrasound was used in a manner similar to the use of X-rays for therapeutic purposes. There are probably several reasons for this. First, the theory and equipment used in the field of diagnostic ultrasonics also have other

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Steve Horvath, has substantially influenced fracture science. In the present chapter, the methods of the theory of fractals are applied to fracture phenomena. A brief overview of practical fractal geometry and some general work on fractals is given in the Introduction, Section 8.1. In Section 8.2, ., a descripti

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Steve Horvathetween pairs of sample types. We use this data set to analyze methods of determining genes which are likely to be differentially expressed between ALL T-cells and ALL B-cells. To this end, we employ non-parametric methods, in the context of multiple testing, for attaching statistical measures of con

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Steve Horvaths decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. .Methods of Microarray Data Analysis II. is the second book