abstract：:The problem of finding periodically expressed genes from time course microarray experiments is at the center of numerous efforts to identify the molecular components of biological clocks. We present a new approach to this problem based on the cyclohedron test, which is a rank test inspired by recent advances in algebr...

journal_title：Statistical applications in genetics and molecular biology

authors： Morton J,Pachter L,Shiu A,Sturmfels B

更新日期：2007-01-01 00:00:00

abstract：:An important application of gene expression microarray data is classification of biological samples or prediction of clinical and other outcomes. One necessary part of multivariate statistical analysis in such applications is dimension reduction. This paper provides a comparison study of three dimension reduction tech...

journal_title：Statistical applications in genetics and molecular biology

authors： Dai JJ,Lieu L,Rocke D

更新日期：2006-01-01 00:00:00

abstract：:Consider the standard multiple testing problem where many hypotheses are to be tested, each hypothesis is associated with a test statistic, and large test statistics provide evidence against the null hypotheses. One proposal to provide probabilistic control of Type-I errors is the use of procedures ensuring that the e...

journal_title：Statistical applications in genetics and molecular biology

authors： Rubin D,Dudoit S,van der Laan M

更新日期：2006-01-01 00:00:00

abstract：:Approaches based upon sequence weights, to construct a position weight matrix of nucleotides from aligned inputs, are popular but little effort has been expended to measure their quality. We derive optimal sequence weights that minimize the sum of the variances of the estimators of base frequency parameters for sequen...

journal_title：Statistical applications in genetics and molecular biology

authors： Newberg LA,McCue LA,Lawrence CE

更新日期：2005-01-01 00:00:00

abstract：:Gene microarray technology is often used to compare the expression of thousand of genes in two different cell lines. Typically, one does not expect measurable changes in transcription amounts for a large number of genes; furthermore, the noise level of array experiments is rather high in relation to the available numb...

journal_title：Statistical applications in genetics and molecular biology

authors： Erickson S,Sabatti C

更新日期：2005-01-01 00:00:00

abstract：:Recent analytic and technological breakthroughs have set the stage for genome-wide linkage disequilibrium studies to map disease-susceptibility variants. This paper discusses a probabilistic methodology for making disease-mapping inferences in large-scale case-control genetic studies. The semi-Bayesian approach promot...

journal_title：Statistical applications in genetics and molecular biology

authors： Schrodi SJ

更新日期：2005-01-01 00:00:00

abstract：:In the exploding field of gene expression techniques such as DNA microarrays, there are still few general probabilistic methods for analysis of variance. Linear models and ANOVA are heavily used tools in many other disciplines of scientific research. The usual F-statistic is unsatisfactory for microarray data, which e...

journal_title：Statistical applications in genetics and molecular biology

authors： Lönnstedt I,Rimini R,Nilsson P

更新日期：2005-01-01 00:00:00

abstract：:Various discriminant methods have been applied for classification of tumors based on gene expression profiles, among which the nearest neighbor (NN) method has been reported to perform relatively well. Usually cross-validation (CV) is used to select the neighbor size as well as the number of variables for the NN metho...

journal_title：Statistical applications in genetics and molecular biology

authors： Paik M,Yang Y

更新日期：2004-01-01 00:00:00

abstract：:Several important syndromes are caused by deleterious germline mutations of individual genes. In both clinical and research applications it is useful to evaluate the probability that an individual carries an inherited genetic variant of these genes, and to predict the risk of disease for that individual, using informa...

journal_title：Statistical applications in genetics and molecular biology

authors： Chen S,Wang W,Broman KW,Katki HA,Parmigiani G

更新日期：2004-01-01 00:00:00

abstract：:Gametic models for fitting breeding values at QTL as random effects in outbred populations have become popular because they require few assumptions about the number and distribution of QTL alleles segregating. The covariance matrix of the gametic effects has an inverse that is sparse and can be constructed rapidly by ...

journal_title：Statistical applications in genetics and molecular biology

authors： Thallman RM,Hanford KJ,Kachman SD,Van Vleck LD

更新日期：2004-01-01 00:00:00

abstract：:Likelihood-based cross-validation is a statistical tool for selecting a density estimate based on n i.i.d. observations from the true density among a collection of candidate density estimators. General examples are the selection of a model indexing a maximum likelihood estimator, and the selection of a bandwidth index...

journal_title：Statistical applications in genetics and molecular biology

authors： van der Laan MJ,Dudoit S,Keles S

更新日期：2004-01-01 00:00:00

abstract：:Usually, a pedigree is sampled and included in the sample that is analyzed after following a predefined non-random sampling design comprising several specific procedures. To obtain a pedigree analysis result free from the bias caused by the sampling procedures, a correction is applied to the pedigree likelihood. The s...

journal_title：Statistical applications in genetics and molecular biology

authors： Ginsburg E,Malkin I,Elston RC

更新日期：2003-01-01 00:00:00