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An alternative methodology to CGH is the multiplex amplifiable probe hybridization (MAPH) methodology, a DNA based method that allows the accurate and reliable determination of changes in copy number in "known" or "unknown locations" in the human genome.
ABC is a simulation based method that allows a Bayesian estimation of parameters and the comparison of models [ 4].
The GCPV method is, currently, the only genome comparison based method that allows for the characterization of relationships between gene clusters based profiles of individual genes in clusters.
The acylcarnitine platform is an UPLC-MS/MS based method that allows for the separation and quantification of several important isomers of acylcarnitine species as well as trimethylamine-N-oxide, choline, betaine, deoxycarnitine, and carnitine.
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Instead, we developed a numerical perturbation based method that allowed us to evaluate the parametric sensitivity of off-target effects in a network's parameter space.
We devise MCMC based methods that allows data analysis with respect to this model, and apply it on synthetic as well as biological datasets.
These reporter assays are supported by biochemistry based methods that allow the genome-wide identification of mRNA binding sites of the miRNA effecter complex RISC [12].
The aim of the current study is the quantitative analysis of genotypes from low-cost, low-density SNP assays, focusing on maximum likelihood based methods that allow for the possibility of genotyping errors, e.g. [ 14– 20].
We developed an alignment-based method that allows to quantify the similarity of ncRNAs solely based on primary deep sequencing data by considering the position and length-dependent patterns of reads aligned to short intervals on the genome.
We present here a PCR-based method that allows a priori determination of the degree of chloroplast and mitochondrial contamination in DNA samples from plant environments.
The phase is interpolated linearly in accordance with a plane wave propagation model, and the amplitude is interpolated using a β-divergence-based method, that allows parameter adjustment.
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