Generative models based on normalizing flows are very successful in modeling complex data distributions using simpler ones. However, straightforward linear interpolations show unexpected side effects, as interpolation paths lie outside the area where samples observed. This is caused by standard choice of Gaussian base and can be seen norms interpolated they manifold. observation suggests that c...

An abstract is not available for this content. As you have access to content, full HTML content provided on page. A PDF of also in through the ‘Save PDF’ action button.

As for other mRNA measurement methods, quantitative RT-PCR results need to be normalized relative to stably expressed genes. Widely used normalizing genes include beta-actin and glyceraldehyde-3-phosphate dehydrogenase. It has, however, become clear that these and other normalizing genes can display modulated patterns of expression across tissue types and during complex cellular processes such ...

The measurement of gene expression levels in cells and tissues typically depends on a suitable point of reference for inferring biological relevance. For quantitative (or real-time) RT-PCR assays, the method of choice is often to normalize gene expression data to an endogenous gene that is stably expressed across the samples analysed: a so-called normalizing or housekeeping gene. Although this ...

The NLToolset is a framework of tools, techniques, and resources designed for building text processing applications. It is a pattern based system which uses world knowledge resident in a lexicon, a location gazetteer, and lists of universal terms, such as first names and the Fortune 500 companies. This knowledge base is extensible with generic, as well as domain-specific, information. It applie...