Titlebook: Bioinformatics Research and Applications; Third International Ion M?ndoiu,Alexander Zelikovsky Conference proceedings 2007 Springer-Verlag

Glower

Efficiently Finding the Most Parsimonious Phylogenetic Tree Via Linear Programming,nts of this problem, new advances in phylogeny inference will be required if we are to be able to continue to make effective use of the rapidly growing stores of variation data now being gathered. In this paper, we introduce an integer linear programming formulation to find the most parsimonious phy

MERIT

A Multi-Stack Based Phylogenetic Tree Building Method,e having same number of leaves) into limited priority queues, always selecting the .-best subtrees, according to their distance estimation error. Using the .-best subtrees our method iteratively applies a novel subtree joining strategy to generate candidate higher level subtrees from the existing lo

agnostic

A New Linear-Time Heuristic Algorithm for Computing the Parsimony Score of Phylogenetic Networks: Togenies have been proposed, almost all of which assume that the underlying history of a given set of species can be represented by a binary tree. Although many biological processes can be effectively modeled and summarized in this fashion, others cannot: recombination, hybrid speciation, and horizon

LAPSE

A Bootstrap Correspondence Analysis for Factorial Microarray Experiments with Replications,s well accepted in microarray studies. To date, the only statistical method for analyzing microarray data obtained using factorial design has been the analysis of variance (ANOVA) model which is a gene by gene approach and relies on multiple assumptions. We introduce a multivariate approach, the boo

Banister

實現(xiàn)

Ranking Function Based on Higher Order Statistics (RF-HOS) for Two-Sample Microarray Experiments,y expressed genes. Traditional ranking functions assume a data distribution (e.g., Normal) and use only first two cumulants for statistical significance analysis. Ranking functions based on second order statistics are often inadequate in ranking small sampled data (e.g., Microarray data). Also, rela

triptans

不朽中國

Algorithm for Haplotype Inferring Via Galled-Tree Networks with Simple Galls,ts of SNP values on individual chromosomes since such information captures the genetic causes of diseases. Present algorithmic tools for haplotyping make effective use of phylogenetic trees. Here the underlying assumption is that recombinations are not present, an assumption based on experimental re

人類的發(fā)源

Estimating Bacterial Diversity from Environmental DNA: A Maximum Likelihood Approach, a method of estimating diversity from an environmental sample of DNA and apply it to data taken from samples from the Sargasso Sea. Our approach combines the coverage depth method of Venter .. [2] and the contig spectrum approach of Angly .. [4], but uses maximum likelihood to recover the diversity

胡言亂語