False positives tend to be particularly problematic in genomic or proteomic studies where many candidates must be statistically tested. Such studies may include identifying genes that are differentially expresse
Analogous to a photocopier, we developed a DNA microarray copy technique and were able to copy patterned original DNA microarrays. With this process the appearance of the copied DNA microarray can also be altered compared to the original by producing copies of different resolutions. As a homage to...
Laboratory study has demonstrated that symbionts commonly perform poorly in novel hosts, with weak vertical transmission and maladaptive pathogenicity being observed in the generations following transfer. This poor performance probably limits symbiont occurrence. We here use microarray technology to test ...
As thousands of different probes can be attached to a single DNA microarray, this method is ideal for experiments where a large number of SNPs needs to be detected in a sample. It is, however, less suitable for high throughput settings, because you would need a lot of space and time to ...
Flower colour variation is one of the most crucial selection criteria in the breeding of a flowering pot plant, as is also the case for azalea (Rhododendron simsii hybrids). Flavonoid biosynthesis was studied intensively in several species. In azalea, fl
To answer this question it is important to understand what happens when food is digested and taken up by the gastrointestinal (GI) tract. The gut is a selective nutrient absorption system and the most important signal transduction and information exchange system within the body. It acts as a ...
Contrarily to DrImpute and scImpute, LLSimpute [26] is a zero-imputation tool for microarray data that tries to estimate missing values using sample information stored in co-abundant or similar features. It starts by a linear regression model, in which (for each feature i) samples are divided...
In order to perform bootstrapping, we implemented a classifier based on Monte Carlo cross validation, that randomly splits a part of the original data in the training data set (60 % in our case) and the rest of original data in the testing set (40 % in our case). The first, second...
microarray data in terms of absolute mRNA copy numbers is currently not possible. Instead, data transformations are used to normalize a given transcript time series to the mean value or to the distribution of fluorescence intensities: the fold-change orlog2mean ratio transformation (in the ...
In order to perform bootstrapping, we implemented a classifier based on Monte Carlo cross validation, that randomly splits a part of the original data in the training data set (60 % in our case) and the rest of original data in the testing set (40 % in our case). The first, second...