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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
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
Microarray experiments produce expression measurements for thousands of genes simultaneously, though usually for a small number of RNA samples. The most common problem is the identification of genes that are differentially expressed between different groups of samples or biological conditions....
Persistent link: https://www.econbiz.de/10005246472
would allow an accurate estimation of the number of samples (microarrays) required to answer a particular biological … it to several real data sets. The results show that applying sequential methods can reduce the number of microarrays …
Persistent link: https://www.econbiz.de/10005246475
As technology for microarray analysis becomes widespread, it is becoming increasingly important to be able to compare and combine the results of experiments that explore the same scientific question. In this article, we present a rank-aggregation approach for combining results from several...
Persistent link: https://www.econbiz.de/10005246481
The problem of identifying differentially expressed genes in designed microarray experiments is considered. Lonnstedt and Speed (2002) derived an expression for the posterior odds of differential expression in a replicated two-color experiment using a simple hierarchical parametric model. The...
Persistent link: https://www.econbiz.de/10005246487
Microarray studies often need to simultaneously examine thousands of genes to determine which are differentially expressed. One main challenge in those studies is to find suitable multiple testing procedures that provide accurate control of the error rates of interest and meanwhile are most...
Persistent link: https://www.econbiz.de/10005246490