A Network Representation of the Multiprocess Dynamic Linear Model, (9999)
Normand, Sharon-Lise, Tritchler, David
Dempster 1 has characterized the dynamic linear model (DLM) as a probabilistic belief network, showing that recent algorithms for propagation of information in such networks generalize Kalman...
Filtering Genes for Cluster and Network Analysis (2009)
Tritchler, David, Parkhomenko, Elena, Beyene, Joseph
Abstract Background Prior to cluster analysis or genetic network analysis it is customary to filter, or remove genes considered to be irrelevant from the set of genes to be analyzed. Often genes...
Sparse Canonical Correlation Analysis with Application to Genomic Data Integration (2009)
Parkhomenko, Elena, Tritchler, David, Beyene, Joseph
Large scale genomic studies with multiple phenotypic or genotypic measures may require the identification of complex multivariate relationships. In multivariate analysis a common way to inspect the...
Sparse Canonical Correlation Analysis with Application to Genomic Data Integration (2009)
Parkhomenko, Elena, Tritchler, David, Beyene, Joseph
Large scale genomic studies with multiple phenotypic or genotypic measures may require the identification of complex multivariate relationships. In multivariate analysis a common way to inspect the...
Sparse Canonical Correlation Analysis with Application to Genomic Data Integration (2009)
Parkhomenko, Elena, Tritchler, David, Beyene, Joseph
Large scale genomic studies with multiple phenotypic or genotypic measures may require the identification of complex multivariate relationships. In multivariate analysis a common way to inspect the...
Sparse Canonical Correlation Analysis with Application to Genomic Data Integration (2009)
Parkhomenko, Elena, Tritchler, David, Beyene, Joseph
Large scale genomic studies with multiple phenotypic or genotypic measures may require the identification of complex multivariate relationships. In multivariate analysis a common way to inspect the...
Fallah, Shafagh, Tritchler, David, Beyene, Joseph
Many clustering methods require that the number of clusters believed present in a given data set be specified a priori, and a number of methods for estimating the number of clusters have been...
Fallah, Shafagh, Tritchler, David, Beyene, Joseph
Many clustering methods require that the number of clusters believed present in a given data set be specified a priori, and a number of methods for estimating the number of clusters have been...
Fallah, Shafagh, Tritchler, David, Beyene, Joseph
Many clustering methods require that the number of clusters believed present in a given data set be specified a priori, and a number of methods for estimating the number of clusters have been...
Fallah, Shafagh, Tritchler, David, Beyene, Joseph
Many clustering methods require that the number of clusters believed present in a given data set be specified a priori, and a number of methods for estimating the number of clusters have been...
Impact of normalization and filtering on linkage analysis of gene expression data (2007)
Beyene, Joseph, Hu, Pingzhao, Parkhomenko, Elena, Tritchler, David
Abstract Using the Problem 1 data set made available for Genetic Analysis Workshop 15, we assessed sensitivity of linkage results to a correlation-based feature extraction method as well as to...
Genome-wide sparse canonical correlation of gene expression with genotypes (2007)
Parkhomenko, Elena, Tritchler, David, Beyene, Joseph
Abstract There is a growing interest in studying natural variation in human gene expression. Studies mapping genetic determinants of expression profiles are often carried out considering the...
Cordell, Heather J, De Andrade, Mariza, Babron, Marie-Claude, Bartlett, Christopher W, Beyene, Joseph, Bickeböller, Heike, ...
No abstract available.
Cordell, Heather J, De Andrade, Mariza, Babron, Marie-Claude, Bartlett, Christopher W, Beyene, Joseph, Bickeb Ller, Heike, ...
BMC Proceedings BioMed Central (2007)
Elena Parkhomenko, David Tritchler, Joseph Beyene, Joseph Beyene
Proceedings Genome-wide sparse canonical correlation of gene expression with genotypes
Cluster analysis of protein array results via similarity of Gene Ontology annotation (2006)
Wolting, Cheryl, McGlade, C Jane, Tritchler, David
Abstract Background With the advent of high-throughput proteomic experiments such as arrays of purified proteins comes the need to analyse sets of proteins as an ensemble, as opposed to the...
Cheryl Wolting, C Jane Mcglade, David Tritchler, Open Access
This is an Open Access article distributed under the terms of the Creative Commons Attribution License
Hong, Chi-Chen, Tang, Bing-Kou, Rao, Venketeshwer, Agarwal, Sanjiv, Martin, Lisa, Tritchler, David, ...
Abstract Introduction Mammographically dense breast tissue is a strong predictor of breast cancer risk, and is influenced by both mitogens and mutagens. One enzyme that is able to affect both the...
Hong, Chi-Chen, Tang, Bing-Kou, Hammond, Geoffrey L, Tritchler, David, Yaffe, Martin, Boyd, Norman F
Abstract Introduction Breast cancer risk may be determined by various genetic, metabolic, and lifestyle factors that alter sex hormone metabolism. Cytochrome P450 1A2 (CYP1A2) is responsible for the...
Boyd, Norman F., Cousins, Mary, Beaton, Mary, Fishell, Eve, Wright, Barbara, Fish, Edward, ...
Despite evidence that dietary fat intake may influence breast cancer risk, there is little information about the effects of dietary fat on the human breast. We have studied the effects of dietary fat...
Hong, Chi-Chen, Tang, Bing-Kou, Rao, Venketeshwer, Agarwal, Sanjiv, Martin, Lisa, Tritchler, David, ...
Cytochrome P450 1A2 (CYP1A2) activity and risk factors for breast cancer: a cross-sectional study
Hong, Chi-Chen, Tang, Bing-Kou, Hammond, Geoffrey L, Tritchler, David, Yaffe, Martin, Boyd, Norman F
Hong, Chi-Chen, Tang, Bing-Kou, Rao, Venketeshwer, Agarwal, Sanjiv, Martin, Lisa, Tritchler, David, ...
Cytochrome P450 1A2 (CYP1A2) activity and risk factors for breast cancer: a cross-sectional study
Hong, Chi-Chen, Tang, Bing-Kou, Hammond, Geoffrey L, Tritchler, David, Yaffe, Martin, Boyd, Norman F
Genome-wide sparse canonical correlation of gene expression with genotypes
Parkhomenko, Elena, Tritchler, David, Beyene, Joseph
There is a growing interest in studying natural variation in human gene expression. Studies mapping genetic determinants of expression profiles are often carried out considering the expression of one...
Cordell, Heather J, De Andrade, Mariza, Babron, Marie-Claude, Bartlett, Christopher W, Beyene, Joseph, Bickeböller, Heike, ...
Impact of normalization and filtering on linkage analysis of gene expression data
Beyene, Joseph, Hu, Pingzhao, Parkhomenko, Elena, Tritchler, David
Using the Problem 1 data set made available for Genetic Analysis Workshop 15, we assessed sensitivity of linkage results to a correlation-based feature extraction method as well as to different...
Shafagh Fallah, David Tritchler, Joseph Beyene
Many clustering methods require that the number of clusters believed present in a given data set be specified a priori, and a number of methods for estimating the number of clusters have been...
Sparse Canonical Correlation Analysis with Application to Genomic Data Integration
Elena Parkhomenko, David Tritchler, Joseph Beyene
Large scale genomic studies with multiple phenotypic or genotypic measures may require the identification of complex multivariate relationships. In multivariate analysis a common way to inspect the...
Likelihood-based Causal Inference
A method is given which uses subject matter assumptions to discriminate recursive models and thus point toward possible causal explanations. The assumptions alone do not specify any order among the...