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I present an algorithm that determines the longest path between every gene pair in an arbitrarily large genetic network from large scale gene perturbation data. As a by-product, the algorithm reconstructs all direct regulatory gene interactions in the network. The algorithm is recursive, and is...
Persistent link: https://www.econbiz.de/10005739978
n Gene Perturbations in Fewer than n2 Easy Steps <p> [gzipped postscript] [postscript] [pdf] <p> Andreas Wagner <p>I present an algorithm to reconstruct direct regulatory interactions in gene networks from the effects of genetic perturbations on gene activity. Genomic technology has made feasible...</p></p></p>
Persistent link: https://www.econbiz.de/10005790717
The neutralist perspective on molecular evolution maintains that the vast majority of mutations effecting gene function are neutral or deleterious. Following a gene duplication where both genes are retained, it predicts that original and duplicate genes diverge at clock-like rates. This...
Persistent link: https://www.econbiz.de/10005790868
For many organisms, and especially for the model organisms of molecular and cell biology, the primary locus of study is the laboratory, and not their natural habitat. Thus, a huge body of knowledge accumulated through a century of laboratory studies contrasts with the limited amount of...
Persistent link: https://www.econbiz.de/10005790943
We derive and validate an estimator for the parameters of a transformation for the joint calibration (normalization) and variance stabilization of microarray intensity data. With this, the variances of the transformed intensities become approximately independent of their expected values. The...
Persistent link: https://www.econbiz.de/10005459150
A common experimental strategy utilizing microarrays is to develop a signature of genes responding to some treatment in …
Persistent link: https://www.econbiz.de/10005459161
Motivated in part by applications in model selection in statistical genetics and sequential monitoring of financial data, we study an empirical process framework for a class of stopping rules which rely on kernel-weighted averages of past data. We are interested in the asymptotic distribution...
Persistent link: https://www.econbiz.de/10005178967
microarrays and known concentration is non linear. Thus many measurements of so-called gene expression are neither measures of … transcript nor mRNA concentration as might be expected.Intensity as measured in such microarrays is a measurement of fluorescent …
Persistent link: https://www.econbiz.de/10005246454
Intensities measurements of spotted microarrays embody many undesirable systematic variations. Very commonly, varying …-dependent and adaptive normalization of two-channel spotted microarrays. STEPNORM performs a stepwise interrogation of a range of …
Persistent link: https://www.econbiz.de/10005246456
One application of gene expression arrays is to derive molecular profiles, i.e., sets of genes, which discriminate well between two classes of samples, for example between tumour types. Users are confronted with a multitude of classification methods of varying complexity that can be applied to...
Persistent link: https://www.econbiz.de/10005246470